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Most conversations about AI in health systems are about the model. This one is about the invoice, the incentives, and the data underneath. Dr. Alan Young has sat in nearly every seat at the table, vendor CMO, consultant, health-system operator, and buyer-side committee chair, which makes him unusually candid about what each one actually optimizes for. Now with Evidently, a clinical data intelligence platform, Dr. Young joins host Dr. Junaid Kalia with co-hosts DR GPT™ Harvey Castro and Dr. Isha Mannering to name what health systems get wrong when they buy AI. The costs nobody budgets for (compute, cloud, data centers, far beyond the SaaS line). The misaligned incentives that push executives to cut headcount in ways that quietly degrade care. The data-veracity problem (what is a trillion data points worth if twenty percent is wrong?). And the ROI math that is more honest than the marketing: Junaid’s “soft ROI” of keeping one irreplaceable specialist versus the hard-dollar savings. It ends on the optimistic turn, ambient AI pulling clinicians toward adoption, costs trending to zero, and a future that looks more like health care than sick care. What You Will Discover:Cold open: survive, get consolidated, or go out of business Welcome: meet Dr. Alan Young, who has sat in every seat The hidden cost of AI, and the incentives that bite (Alan Young)Soft ROI vs hard ROI: the irreplaceable-specialist math (Junaid) Data veracity: what is bad data actually worth? (Alan Young) Harvey’s digital twin, the future for everyone (DR GPT™ Harvey Castro) Cost of AI heading to zero, and rising customer expectations (Junaid) Stop making patients repeat their history (Dr. Isha Mannering) From sick care to health care: a basic level of care for all (Alan Young) Close, and a teaser: the medical-legal episode is coming Referenced in the show:🖇️ Evidently: an AI clinical data intelligence platform reading structured and unstructured EHR data 🖇️ The hidden total cost of AI: compute, cloud, and data-center spend beyond the SaaS subscription 🖇️ “Pilot purgatory” and the gap between pilot ROI and production ROI 🖇️ Data veracity: the value of a dataset when a fifth of it is inaccurate 🖇️ Ambient AI and the clinician “pull-through” effect 🖇️ Signal & Symptoms Ep 54 (Dr. Alan Weiss): genetic testing at scale Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn: https://www.linkedin.com/in/junaidkaliamd 🔗 Website: https://www.junaidkalia.com/ 📹 YouTube: https://www.youtube.com/@junaidkaliamd DR GPT™ Harvey Castro, ER Physician (co-host) 💼 LinkedIn: https://www.linkedin.com/in/harveycastromd/ 🔗 Website: https://www.harveycastromd.com Dr. Isha Mannering (co-host) 💼 LinkedIn: https://www.linkedin.com/in/isha-mannering Special Guest: Dr. Alan S. Young, MD, MBA, physician executive with Evidently (clinical data intelligence); background across vendor, consulting, and health-system leadership 💼 LinkedIn: https://www.linkedin.com/in/alansyoung Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guest and co-hosts are their own and do not represent their employers. No specific vendor or product is endorsed. No PHI is shared.

No guest this week, just the two besties going deep. Dr. Junaid Kalia and DR GPT™ Harvey Castro step back to ask what actually changed in healthcare AI this fall, and why it matters. They land on two shifts pulling in the same direction. Junaid’s is technical and under-reported: we have started building AI models for machines, not humans, systems that return a calibrated decision and a probability instead of paragraphs of text, running an entire EHR as a “decision machine” in seconds and at a fraction of the cost. Harvey’s is human and personal: the move from reactive to proactive medicine, built around the one metric he argues beats almost everything else, your VO2 max. One of them lost his father to an emergency that started silently years earlier. The thesis that ties it together: the best emergency is the one that never comes. What You Will Discover:Cold open: what if your emergency has already started? (DR GPT™ Harvey Castro)The shift: we are building AI for machines, not humans (Junaid)Reactive vs proactive medicine, and why it is personal (DR GPT™ Harvey Castro) VO2 max: the longevity metric that beats fixing diabetes (DR GPT™ Harvey Castro) Men’s health, and why men die sooner (Junaid)Self-evolving research agents and “benchmark as teacher” (Junaid) Why SaveLife.AI™ now runs its own GPUs (Junaid) Decisions, not language: building AI for outcomes (Junaid) Warfarin and the EHR as a decision machine (Junaid) 600 questions on one chart, in under a second (Junaid) The close: take care of your body today (DR GPT™ Harvey Castro) Referenced in the show:🖇️ Calibrated “decision” models: System-1-style systems that return a choice and a probability instead of text (product and company names were spoken on-air; verify spelling before citing) 🖇️ Small, knowledge-light models (e.g., the MiniCPM family) as fast decision engines 🖇️ SaveLife.AI™ bringing its own GPUs online 🖇️ VO2 max and cardiorespiratory fitness as a mortality predictor 🖇️ Daily steps and longevity (the 7,500-step discussion) 🖇️ Signal & Symptoms Ep 54 (Dr. Alan Weiss): genetic testing at scale Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn: https://www.linkedin.com/in/junaidkaliamd 🔗 Website: https://www.junaidkalia.com/ 📹 YouTube: https://www.youtube.com/@junaidkaliamd DR GPT™ Harvey Castro, ER Physician (co-host) 💼 LinkedIn: https://www.linkedin.com/in/harveycastromd/ 🔗 Website: https://www.harveycastromd.com/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. The longevity and fitness points are general wellness information, not a treatment plan; talk to your own clinician before changing exercise or health routines. Views expressed are the hosts’ own and do not represent their employers. No PHI is shared.

The cost of sequencing your genome just fell below $100, so the hard question is no longer “can we test?” It is “should you know what you cannot fix?” That is the tension at the center of this episode, and the panel refuses to give it an easy answer. Dr. Alan Weiss, Senior Vice President of Clinical Advancement at Banner Health, returns to Signal & Symptoms (his second appearance) for a conversation on genetic testing at scale, hosted by Dr. Junaid Kalia with co-hosts Dr. Isha Mannering, DR GPT™ Harvey Castro, and Edward Marx. Alan tells the story of a colleague, a genuine health specimen, who did a consumer panel and learned she carries risk for a rare, untreatable cancer, turning her overnight into one of the “worried well.” Harvey shares finding his own macular-degeneration gene during a chess game with his grandfather, and later, how CRISPR let a sickle-cell patient climb a mountain. Junaid raises the Apple Watch AFib problem, where a screening tool floods the system faster than it can absorb. Isha holds the line that genetics is still just a tool, and that newborn screening is where universal testing clearly wins. And Alan closes the loop with a confession: offered widespread testing himself, he said no. What You Will Discover:Cold open: CRISPR, and a gene you cannot unknowA gene you can’t unknowWelcome back Dr. Alan Weiss: genetics, genomics, and AIA grandfather, chess, and a risk gene (DR GPT™ Harvey Castro)The cost just fell below $100 02:08 The “worried well”: a healthy colleague, a frightening resultInformation vs wisdom: knowing what NOT to doPharmacogenomics: the codeine metabolizer exampleOffer it, or patients get it elsewhere (Edward Marx)The Apple Watch AFib problemGenetics is still just a tool (Dr. Isha Mannering)Does knowing your risk change behavior? The back-pain paradoxCISPR let a sickle-cell patient climb a mountain (DR GPT™ Harvey Castro)Newborn screening: where testing clearly wins“I was offered testing, and I said no” Referenced in the show:🖇️ The sub-$100 genome and the falling cost curve of sequencing 🖇️ Pharmacogenomics: the fast-metabolizer / codeine safety example 🖇️ The Apple Watch AFib screening surge and screening-to-diagnostic capacity 🖇️ CRISPR and sickle cell disease 🖇️ State-mandated newborn screening and the move toward genomic newborn screening 🖇️ Signal & Symptoms Ep 52 (Dr. Alan Weiss, first appearance): the empathy debate Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn: https://www.linkedin.com/in/junaidkaliamd 🔗 Website: https://www.junaidkalia.com/ 📹 YouTube: https://www.youtube.com/@junaidkaliamd Dr. Isha Mannering (co-host) 💼 LinkedIn: https://www.linkedin.com/in/isha-mannering DR GPT™ Harvey Castro, ER Physician (co-host) 💼 LinkedIn: https://www.linkedin.com/in/harveycastromd/ Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn: https://www.linkedin.com/in/edwardmarx/ 🔗 Website: https://www.marxadvisory.com/ Special Guest: Dr. Alan M. Weiss, MD, MBA, FACP, Senior Vice President of Clinical Advancement, Banner Health (physician-informaticist; former CMIO) 💼 LinkedIn: https://www.linkedin.com/in/dralanmweiss/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guest and co-hosts are their own and do not represent their employers. Genetic and screening decisions should be made with a qualified clinician and, where appropriate, a genetic counselor. No specific company or test is endorsed. No PHI is shared.

Less than half of what a doctor says in a visit is remembered. You cannot fix that with a better algorithm alone, but you can fix the record. That is Dr. Kaitlan Baston’s whole thesis: “We aren’t necessarily fixing universal healthcare, but we are fixing the universal record, and making sure the patient is at the center.” Dr. Kaitlan Baston, Founder and CEO of Vinyl Health and a former New Jersey Health Commissioner, joins host Dr. Junaid Kalia with co-hosts Dr. Isha Mannering, DR GPT™ Harvey Castro, and Edward Marx. A primary care and addiction physician who once ran a safety-net hospital, she built Vinyl as a personal health assistant for patients and families navigating a fragmented system: it translates the medical record into plain language, takes the visit notes so the patient can actually be present, and hands people back control of their own data. The panel widens the lens from there, to the 70% of medical data still moving by fax, what Taiwan gets right about same-day access, Harvey’s personal digital twin, and why data you get for free makes you the product. What You Will Discover:Cold open: fix the universal record, not (yet) universal healthcareMeet Dr. Kaitlan Baston: from integrated care to Vinyl HealthThe EHR as a “junk drawer” (the education that never makes the note)The chaotic clinic visit (Dr. Isha Mannering)Vinyl’s AI note-taker: be present, walk out with a summary and to-dosThe doctor-in-the-loop summary page and the human connectionCare-management duplication and the “I need a ride” fix16 channels, and the 70% of medical data still faxedWhat Taiwan gets right: same-day access, longer life, a third the costHarvey’s personal digital twin (DR GPT™ Harvey Castro)Inside a top AI health system: Nebraska Medicine (Edward Marx)Own your data: when it’s free, you are the productYour record for $2, and the case for physician-led AI Referenced in the show:🖇️ Vinyl Health: a personal health assistant that turns the record into plain language (https://www.vinylhealth.ai/) 🖇️ The “junk drawer” EHR and the patient-held, patient-controlled record 🖇️ Taiwan’s single-payer system: same-day walk-in access at roughly a third of US cost as a share of GDP 🖇️ eFax in medicine: most records still move by fax in 2026 🖇️ Signal & Symptoms Ep 52 (Dr. Alan Weiss): the empathy debate Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn: https://www.linkedin.com/in/junaidkaliamd 🔗 Website: https://www.junaidkalia.com/ 📹 YouTube: https://www.youtube.com/@junaidkaliamd Dr. Isha Mannering (co-host) 💼 LinkedIn: https://www.linkedin.com/in/isha-mannering DR GPT™ Harvey Castro, ER Physician (co-host) 💼 LinkedIn: https://www.linkedin.com/in/harveycastromd/ Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn: https://www.linkedin.com/in/edwardmarx/ 🔗 Website: https://www.marxadvisory.com/ Special Guest: Dr. Kaitlan Baston, MD, MSc, Founder & CEO of Vinyl Health (former New Jersey Health Commissioner; former President & CEO, University Hospital, Newark) 💼 LinkedIn: https://www.linkedin.com/in/kaitlan-baston/ 🔗 Vinyl Health: https://www.vinylhealth.ai/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guest and co-hosts are their own and do not represent their employers. Tools discussed are patient-support and decision-support with a clinician in the loop, not autonomous or cleared diagnostic devices. No PHI is shared.

“Medicine is fundamentally a relationship, and I don’t think AI replaces that.” That is where Dr. Alan Weiss plants his flag, seconds before Dr. Junaid Kalia throws down the provocation the whole episode circles: what if 65% of patients soon get 85% of their primary care through AI agents? This is the empathy debate, and it is not the one you expect. Dr. Alan Weiss, Senior Vice President of Clinical Advancement at Banner Health and a physician-informaticist who describes himself as “a nerd turned doctor, gone back to being a nerd,” joins host Dr. Junaid Kalia with co-hosts Dr. Isha Mannering, DR GPT™ Harvey Castro, and Edward Marx. Together they work through the uncomfortable middle of the AI-versus-doctor question: the crushing admin load AI could lift, the timeline for when it actually will, the danger of trusting a model that quietly misses a sepsis case, and the studies suggesting AI can already sound more empathetic than a physician. It ends on a story that will stay with you: an AI that remembered a patient loved soccer, and comforted her about missing the World Cup, better than most humans would have. What You Will Discover:[00:00] Cold open: “medicine is a relationship” vs “65% of care through AI agents” [00:46] Meet Dr. Alan Weiss: “a nerd turned doctor, gone back to being a nerd” [01:16] What still drives him, and AI as augmentation, not replacement [02:04] Dr. Isha Mannering on pediatrics and the joy in medicine [02:55] The admin crush: documentation, billing, and the inbox [04:17] When will AI actually handle it? The timeline (refills, 2029, the Utah pilot) [05:28] The liability tipping point [05:53] What if you disagree with the AI? Alan on the sepsis it can miss [06:33] Can AI fake empathy? Genuine connection vs mimicry [06:53] Ambient AI that hears 100 emotions in your voice [07:33] Fatigue vs empathy: why a clinician’s energy runs out (Alan) [08:40] The World Cup moment: when AI out-empathized the doctor (Edward Marx) Referenced in the show:🖇️ JAMA Internal Medicine (2023): AI chatbot responses rated more empathetic than physicians’ 🖇️ The Epic Sepsis Model shortfall: an AI that missed most sepsis cases in external validation 🖇️ Ambient AI scribes: hearing “100 emotions” in a clinician’s voice, and easing documentation 🖇️ Wearables, the admin inbox, and the “augment, don’t replace” thesis Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd 🔗 Website — https://www.junaidkalia.com/ 📹 YouTube — https://www.youtube.com/@junaidkaliamd Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx DR GPT™ Harvey Castro, ER Physician, #DrGPT™ (co-host) 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ Visit our website: https://signalandsymptoms.com/ Dr. Isha Mannering (co-host) 💼 LinkedIn: https://www.linkedin.com/in/isha-mannering Special Guest: Dr. Alan M. Weiss, MD, MBA, FACP, Senior Vice President of Clinical Advancement, Banner Health (physician-informaticist; former CMIO) 💼 LinkedIn: https://www.linkedin.com/in/dralanmweiss/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI, at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guest and co-hosts are their own and do not represent their employers. AI tools discussed are decision-support with a clinician in the loop, not autonomous or cleared diagnostic devices. No PHI is shared.

Technology keeps getting built for clinicians and too often without them. This episode of Signal & Symptoms is about closing that gap. Dr. Junaid Kalia is joined by co-hosts Ed Marx, DR GPT™ Harvey Castro, and now officially on the roster Dr. Isha Mannering, with guest Dr. Ryan Walsh, Chief Medical Information Officer at Memorial Hermann. Ryan calls his path “the Forrest Gump of health IT”: a family physician and residency educator who raised his hand when someone asked “does anyone know about computers?” and ended up double-board-certified as a “human + machine” leader. The conversation is a working clinician’s field guide to living with AI: what actually excites a CMIO right now, how to de risk AI so you can use it without getting burned, why residents trust an AI summary inside Epic more than an outside source (and why that’s dangerous), and the med-legal reality that governance and law are being outpaced by the technology. Ed lands the episode’s sharpest line that the real leading cause of preventable death in a hospital might not be sepsis, but governance that keeps good tools out. Ryan’s answer isn’t to skip the guardrails: it’s a physician-led clinical AI governance council, piloting carefully, and refusing to throw the baby out with the bathwater “but we do need to test the bathwater.” What You Will Discover:[00:00] “nothing is foolproof,” and the EHR-trust trap [00:21] Welcome + meet Dr. Ryan Walsh (CMIO, Memorial Hermann), Isha joins as co-host [00:57] The “Forrest Gump of health IT” origin story [02:03] What excites a CMIO now: the tech finally catching up [03:23] AI as a thinking partner [04:42] “All technology is deflationary” (Junaid) [05:02] Advice for clinicians: use it, learn the limits, de-risk it [06:29] Do residents trust AI? The EHR summary surprise [07:43] Fear, soul, and choosing love over 150 years of tech (Ed) [08:13] The bridge: balance, not sides (Isha) [08:42] Med-legal reality + the clinical AI governance council [09:29] “The real leading cause of preventable death? Governance.” [10:07] Don’t throw the baby out with the bathwater test the bathwater Referenced in the show:🖇️ Dr. Ryan Walsh — CMIO, Memorial Hermann Health System; family physician + informaticist (“human + machine”) 🖇️ Memorial Hermann’s overarching clinical AI governance council 🖇️ AI summaries inside the EHR (Epic) — and the automation-bias / implicit-trust risk 🖇️ 21st Century Cures Act era of health data + interoperability Connect with us: Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd 🔗 Website — https://www.junaidkalia.com/ 📹 YouTube — https://www.youtube.com/@junaidkaliamd Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx DR GPT™ Harvey Castro, ER Physician, #DrGPT™ (co-host) 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ Visit our website: https://signalandsymptoms.com/ Special Guest: Dr. Ryan Walsh — Chief Medical Information Officer, Memorial Hermann Health System 💼 LinkedIn — https://www.linkedin.com/in/ryanwalshmd/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Views expressed are Their own and do not represent the employer. Tools and methods discussed are decision-support and research infrastructure with a clinician in the loop — not autonomous or cleared diagnostic devices. No PHI is shared.

“AI alone is very rarely the real breakthrough.” That’s how Dr. Agata Krasoń a Senior Clinical & Imaging Data Scientist at Roche, joining from Switzerland opens the conversation, and it reframes the entire episode. The breakthrough, she argues, happens when the right data, the right model, the workflow, the validation, and the clinical decision are all connected. The model is the easy part. In this episode of Signal & Symptoms, Dr. Junaid Kalia and co-host Ed Marx dig into the unglamorous middle layer where medical imaging actually becomes clinical AI: data standardization, harmonization, and the FAIR foundations that decide whether a model can be trusted at all. Agata makes the case for starting with the decision, not the model; Junaid shares how SaveLife.AI™’s “VisionOps” flywheel compressed grounded-data prep from months to hours; and Ed brings the hard governance truth in his words, when we don’t share the right data, “people die, and that’s criminal.” They close on precision medicine, the AI “mirage” (models that fake the read), planning one year instead of five, and why patients should own their health data like a bank account. What You Will Discover:[00:00] “AI alone is rarely the real breakthrough” [00:47] Welcome + meet Agata Krasoń (Roche, Switzerland) [01:35] Start with the decision, not the model [02:58] Work backwards from the problem (Ed Marx) [03:29] Data standardization: the foundation you build the house on [04:23] VisionOps & the AI flywheel months to hours [05:32] Precision medicine: the right therapy for the right patient [06:06] The “mirage”: when AI fakes the read [06:58] Plan one year, not five [07:36] Switzerland vs. the US: 500+ EMRs, no single data source [08:48] Regulation, data-sharing, and who really drives the rules [09:15] Own your health data like your bank account (+ the $500 private-AI box) Referenced in the show:🖇️ Agata Krasoń’s May 2026 LinkedIn post — “AI alone is never the real breakthrough” 🖇️ FAIR data principles (Findable, Accessible, Interoperable, Reusable) 🖇️ SaveLife.AI™ “VisionOps” — Vision-Language Model (VLM) analysis pipeline 🖇️ Sergey Brin, paraphrased — “If you cannot measure it, you cannot improve it” 🖇️ The imaging-AI “mirage” — foundation models producing reads without truly using the image 🖇️ Signal & Symptoms Ep 33 (Martin Willemink) — radiology AI Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd 🔗 Website — https://www.junaidkalia.com/ 📹 YouTube — https://www.youtube.com/@junaidkaliamd Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx DR GPT™ Harvey Castro, ER Physician, #DrGPT™ (co-host) 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ Visit our website: https://signalandsymptoms.com/ Special Guest: Dr. Agata Krasoń — Senior Clinical & Imaging Data Scientist, Roche (Basel, Switzerland) 💼 LinkedIn — https://www.linkedin.com/in/agatakrason Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Tools and methods discussed are decision-support and research infrastructure with a clinician in the loop — not autonomous or cleared diagnostic devices. No PHI is shared.

This one is a roundtable no guest, just the three of us. Dr. Junaid Kalia sits down with co-hosts Ed Marx and DR GPT™ Harvey Castro for a hands on, slightly geeky conversation about something most clinicians have never been told they can do: run capable AI models yourself, on your own hardware, without ever sending a patient’s data to someone else’s cloud. It starts with a provocation Junaid running a local model on a $2,000 Mac at ~100 tokens/second and asking why he’d keep paying Azure for the privilege. From there the three of them walk through the whole terrain: why Harvey now updates his emergency medicine book with an AI agent every month, what “edge vs. near-edge vs. far-edge” actually means, whether an Apple laptop can really keep pace with a data center, and the uncomfortable catch that the best cheap open models right now come out of China, which opens a security and standards question the U.S. hasn’t answered. They close on the part that matters most in medicine: what a model can never show the FDA, and why a rural clinic with no road to it might be the best argument for local AI there is. What You Will Discover:[00:00] A $2,000 Mac at ~80–100 tokens/second (why bother going local?) [00:28] Welcome + why write a book when an AI can rewrite it every month [01:37] Who the book is really for: patients (and why the ER is a lot of people’s primary care) [02:34] 13 minutes with your doctor, how AI fills the gap (and visits trending down) [03:08] The home setup: 3 Macs, 128 GB unified memory, one tailnet [03:30] The model onslaught: what you can run for free (routers, Qwen, Kimi K2) [04:09] Edge, near-edge, or cloud, where should the model actually run? [05:00] Can an Apple laptop out-run a data center? (Apple Silicon + MLX + Core ML) [05:30] The catch: the best cheap models are Chinese and who then owns the standard [06:37] Boeing vs. Airbus: the same fight, now national, now for AI [07:11] What a model can never show the FDA (SBOM + prompt injection) [08:15] The rural clinic more advanced than any academic center [09:19] Three things you can do with AI today Referenced in the show:🖇️ DR GPT™ Harvey Castro’s AI in Emergency Medicine book + the “Pivot or Perish” series — https://www.harveycastromd.com/ 🖇️ Open-weight model families discussed: Qwen (Alibaba), Kimi K2 (Moonshot AI), DeepSeek 🖇️ Apple MLX + Core ML on Apple Silicon; Tailscale for a private multi-Mac “tailnet” 🖇️ Inkling (referenced by Junaid) — a fine-tuning/infrastructure approach for bring-your-own-data models 🖇️ Signal & Symptoms Ep 38 — “Why Will Digital Twins Change the Way We Treat Patients?” Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd 🔗 Website — https://www.junaidkalia.com/ 📹 YouTube — https://www.youtube.com/@junaidkaliamd Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx DR GPT™ Harvey Castro, ER Physician, #DrGPT™ (co-host) 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. The tools and models discussed are general-purpose technology, not cleared medical devices; nothing here is an endorsement of any specific vendor or model for clinical use. Do not enter protected health information into consumer AI tools.

A small sensor sits on a tripod across the room — no wearable, no camera, nothing taped to a chest — and it’s reading a heartbeat through the air. What does it take for a tool like that to survive contact with a real hospital? In this episode of Signal & Symptoms, Dr. Junaid Kalia hosts — with co-hosts Dr. Harvey Castro and Ed Marx — a conversation with Nayan Patel, SVP of Transformation & Digital Health at Neteera and a career hospital CIO who spent decades buying health technology before he crossed over to building it. Neteera’s premise is radical subtraction: a deck-of-cards-sized, FDA-cleared radar sensor that continuously tracks heart rate, respiratory rate and movement with nothing worn and nothing to charge. The panel works through how the radar actually reads the body (ECG mapped to a ballistocardiograph), why “clinical grade” is not an Apple Watch, the ED-waiting-room-chair use case that started with a hard question, the retrospective study that flagged deterioration roughly five days out, and the one demand every CIO makes: don’t make me another dashboard What You Will Discover:[01:12] What Neteera actually is — the radar “tricorder,” ECG → BCG, through clothing and bedding [02:26] How accurate is it? — ~95% and thousands of data points a night [03:22] The ED waiting-room chair — the use case that started with a death in the waiting room [04:31] Why vitals and trends matter (Junaid on the sepsis window) [05:45] AFib and arrhythmia — the case for catching it early (a capability in progress) [06:50] “Don’t make me another dashboard” — a CIO’s demand on any new system [07:36] Home health, the elderly, and the “monitor my mother-in-law” problem [08:10] Can a phone camera read your vitals? — a clinician’s blunt answer [08:53] The five-day signal — what a 612-resident study actually measured [09:23] Screening → verification: where this sits on the monitoring spectrum [10:54] Who owns the medical record? (the panel’s open debate) [12:06] Close — it always comes back to the patient Referenced in the show:🖇️ Neteera — contactless vital-signs monitoring (FDA-cleared) — https://www.neteera.com/ 🖇️ “The Glass is Full” (TGIF) — Nayan Patel’s LinkedIn newsletter 🖇️ Retrospective study — contactless monitoring flagging deterioration ~5 days early across skilled-nursing facilities Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd Dr. Harvey Castro, ER Physician, #DrGPT™ (co-host) 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ 📷 Instagram — https://www.instagram.com/harveycastromd/ 📑 Substack — https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor (co-host) 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx Special Guest: Nayan D. Patel, SVP, Transformation & Digital Health, Neteera 💼 LinkedIn — https://linkedin.com/in/nayandpatel Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Always consult a qualified clinician.

The same software engine can run a 400 megawatt power plant and simulate whether a cancer drug will survive a real world patient population. That’s not two companies it’s one engine, built by a founder who came up not in medicine but in gas turbines and heavy industry. In this episode, Dr. Junaid Kalia hosts with co-hosts Ed Marx and Dr. Harvey Castro a two guest conversation with Dr.-Ing. Amir A. Hashmi, founder of Xcelenz and creator of the GENEXIX digital twin platform, and Dr. Dania Amir, the internal medicine physician leading its clinical validation. GENEXIX carries an industrial reliability DNA traceability, baselines, failure-mode reasoning, “no black-box AI” from the power plant into the hospital, where the same engine models a patient’s physiology, predicts deterioration, and runs in silico drug simulations for research. The Signal & Symptoms question: does an industrial mindset actually earn a doctor’s trust at the bedside and what should a health system ask before it lets a digital twin, especially one born in industry, near a real clinical decision? What You Will Discover:One engine, two worldsWelcome + meet the two guests (Amir + Dania)From industry to medicine: Amir’s crossoverThe physician’s role: Dania on clinical validationWhy build a digital twin? (the analogy)The clinical twin: modeling multi-organ physiologyUnder the hood: explainable architectureIn the ICU: where the twin earns its valueThe stakes + the intelligence layerThe future “don’t surrender to AI, learn AI” Connect with us:DR GPT™ Harvey Castro, ER Physician, #DrGPT™ 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ 📷 Instagram — https://www.instagram.com/harveycastromd/ 📑 Substack — https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™ 💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd 🔗Website - https://www.junaidkalia.com/ 📹YouTube - https://www.youtube.com/@junaidkaliamd Special Guest: Dr.-Ing. Amir A. Hashmi — Founder & Advisor, Xcelenz (creator of the GENEXIX digital-twin platform) 💼 LinkedIn — https://www.linkedin.com/in/amir-a-hashmi-dr-ing-42354113/ Dr. Dania Amir — Director of Clinical AI & Internal Medicine Lead, GENEXIX-cDT (MRCP, UK) 💼 LinkedIn — https://www.linkedin.com/in/dr-dania-amir-a554208a Visit our website: https://signalandsymptoms.com Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Always consult a qualified clinician for your child’s care.

For a generation, your medical record has lived behind the hospital’s firewall. What happens the day the patient walks in holding it already read, already interpreted by AI, on their own phone? In this episode, DR GPT™ Harvey Castro, hosts with co-hosts Ed Marx and Dr. Isha Mannering — a conversation with Stephen Rouse, co-founder and head of growth at Savva, a consumer health app (in beta, launching this summer) built on a single premise: patients should own and understand their own health data. Coming from the enterprise-EHR world, Stephen argues the next shift isn’t inside the hospital system it’s outside it, in the patient’s hands. The panel works through why the Cures Act cracked the door open, what it means to keep a record on-device instead of the cloud, the everyday mess of five different patient portals, a global bet to reach a billion people without a portal to disrupt and the hard question no one has fully answered: when a patient shows up already “knowing,” who’s accountable for what the AI surfaced? What You Will Discover: “consumers can take over their health information”Meet the panel + Stephen’s Savva one-linerWhy should the patient own the record? (Protocol First → the Cures Act)Your chart, off the hospital’s cloud (on-device + privacy)Why do you have five different portals? (the access problem)A billion people, no portal to disrupt (the global bet)When the patient already knows (the exam-room collision)Who’s accountable if it’s wrong? (the open debate)Closing: what clinicians should do now Referenced in the show:🖇️ DR GPT™ Harvey Castro’s work on ChatGPT in healthcare — https://www.harveycastromd.com/ Connect with us:DR GPT™ Harvey Castro, ER Physician, #DrGPT™ 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ 📷 Instagram — https://www.instagram.com/harveycastromd/ 📑 Substack — https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx Dr. Isha Mannering — Board-Certified Pediatrician, Founder of InTuneMD LinkedIn — https://linkedin.com/in/drisha Special Guest: Stephen Rouse, Co-Founder & Head of Growth, Savva 💼 LinkedIn — https://linkedin.com/in/rousestephen Visit our website: https://signalandsymptoms.com Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Always consult a qualified clinician for your child’s care.

Somewhere in Oxford, there’s an AI that can produce a contrast-enhanced cardiac MRI without ever injecting the contrast. No needle, no gadolinium, no risk. It works and it has for years. Walk into a community hospital in Dallas tomorrow, and you still can’t get it. In this episode, DR GPT™ Harvey Castro hosts with co-hosts Ed Marx and Dr. Isha Mannering a conversation with Dr. Yeshe Kway, a medical data scientist in Oxford’s Zhang Group building the AI that reads cardiovascular MRI. Together they take on the question every health-system leader is quietly asking: can medicine actually keep up with AI? They range across what AI can now see inside the whole body, why reactive medicine is giving way to proactive care, the unglamorous economics that strand breakthrough imaging one mile short of the patient, the ethics of telling a healthy child they may get sick someday, whether an employer could one day use AI against you, and a blunt warning about AI “poisoning” the well of medical knowledge. What You Will Discover:Can medicine keep up?Meet the panel + Yeshe’s path: Germany → Singapore → OxfordWhat can AI actually see inside your whole body?Reactive medicine is dying what replaces it?It works so why can’t your hospital use it? (the adoption wall)Should we tell a child they’ll get sick? (pediatric early-risk ethics)Predicting disease from a routine eye scan and who could use itIs the doctor who won’t use AI already behind?Is AI poisoning medical knowledge?Closing: human + AI Referenced in the show:🖇️ DR GPT™ Harvey Castro’s work on ChatGPT in healthcare — https://www.harveycastromd.com/ Connect with us:DR GPT™ Harvey Castro, ER Physician, #DrGPT™ 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ 📷 Instagram — https://www.instagram.com/harveycastromd/ 📑 Substack — https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx Dr. Isha Mannering — Board-Certified Pediatrician, Founder of InTuneMD LinkedIn — https://linkedin.com/in/drisha Special Guest: Dr. Yeshe Kway, Medical Data Scientist, Zhang Group (AI in Cardiovascular Imaging), University of Oxford 💼 LinkedIn — https://www.linkedin.com/in/yeshe-kway-b77b53185/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Always consult a qualified clinician for your child’s care.

The hardest part of a pediatric visit now happens before the appointment even begins. In this episode, Dr. Isha Mannering a board-certified pediatrician with 16 years in the Dallas–Fort Worth area and founder of InTuneMD joins Dr. Junaid Kalia, DR GPT™ Harvey Castro, and Ed Marx to confront a new reality in the exam room: parents arrive having already consulted TikTok and ChatGPT, and the physician’s first job is winning back trust. Drawing on more than a decade in practice and her decision to go independent, Isha makes the case for treating AI as a tool, not a takeover one that can hand clinicians back their time, sharpen early-warning “signals” in young patients, and bring care into the home. The conversation widens into pediatric AI in practice, the rural-versus-frontier care divide, at-home sick care, and a blunt warning to health systems: enable entrepreneurship within your walls, or be disintermediated by those who will. What You Will Discover:Cold open + welcome (Junaid, Harvey, Ed + Dr. Mannering)Why trust is eroding: the viral-TikTok rare-disease scareAI as a tool: the “healthcare influencer” + scribe & signalGoing independent: “figuring it out as I go”Authenticity: earning the trust of parents AND kids“Put the laptop down”: reclaiming the visitPediatric AI in practice: comic discharge notes + an NFC plushieCatching the signal early: “never trust a newborn”At-home sick care: the 2 a.m. feverThe hospital reckoning: adapt or be disintermediatedClosing: human + AI have fun with it Referenced in the show:🖇️ DR GPT™ Harvey Castro’s work on ChatGPT in healthcare — https://www.harveycastromd.com/ Connect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamd 🔗 Website — https://www.junaidkalia.com/ 📹 YouTube — https://www.youtube.com/@junaidkaliamd DR GPT™ Harvey Castro, ER Physician, #DrGPT™ 💼 LinkedIn — https://www.linkedin.com/in/harveycastromd/ 🔗 Website — https://www.harveycastromd.com/ 📷 Instagram — https://www.instagram.com/harveycastromd/ 📑 Substack — https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarx Special Guest: Dr. Isha Mannering, Board-Certified Pediatrician, Founder of InTuneMD 💼 LinkedIn — https://linkedin.com/in/drisha Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/ Medical disclaimer: This conversation is for general informational purposes and is not medical advice. Listening does not create a doctor–patient relationship. Always consult a qualified clinician for your child’s care.

The foundation of tomorrow's diagnostics is being rebuilt — and it starts in biology, not silicon. In this episode, Edmund White, biomedical innovator and bestselling author, joins the conversation to challenge an assumption quietly embedded in every AI tool entering healthcare: that silicon is the only material worth building on. Drawing from three decades at the intersection of cardiac care and medical innovation, Edmund traces a through-line from digital twins of children's hearts to brain organoids — arguing that biology's energy efficiency and adaptability aren't limitations to engineer around, they're the very properties that could unlock earlier intervention and more precise patient outcomes. The conversation widens from there into the economics of AI adoption, the coming bubble, and what it will take for healthcare systems and policymakers to get ahead of a shift that's already in motion. What You Will Discover: - Edmund's Journey From Cardiac Devices to Prevention - Brain Organoids Explained - Silicon vs. Biology: The Hybrid Computing Argument - What Happens When AI is Cheap and Effortless - The Social Impact of AI - Space Computing & Distributed Intelligence - Regulation, Policy, and Germany's Risk Aversion [16:30] Funding Priorities: Where Innovation Dollars Should Go Referenced in the show: 🖇️ "AI Today: OI Tomorrow: The Dawn of Organoid Intelligence: Opportunities, Ethics, and the Future of Humanity" – https://www.amazon.com/AI-Today-Tomorrow-Intelligence-Opportunities/dp/1950043584 Connect with us: Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™ 💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd 🔗Website - https://www.junaidkalia.com/ 📹YouTube - https://www.youtube.com/@junaidkaliamd Dr. Harvey Castro, ER Physician, #DrGPT™ 💼LinkedIn - https://www.linkedin.com/in/harveycastromd/ 🔗Website - https://www.harveycastromd.com/ 📷Instagram - https://www.instagram.com/harveycastromd/?hl=en 📑 Substack - https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼LinkedIn - https://www.linkedin.com/in/edwardmarx/ 🔗Website - https://www.marxadvisory.com/ 📹YouTube - https://www.youtube.com/@EdwardMarx Special Guest: Edmund White, VP Business Development & Partnerships, AIBODY 💼LinkedIn - https://www.linkedin.com/in/edmund-white-08362ab/ 🔗Website - https://www.ai2oi.com/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/

We built a healthcare system engineered for sick care, but the future of medicine belongs to those who seek health. In this episode, global Digital Health Futurist Philippe Gerwill joins the panel to unpack the real bottlenecks stalling clinical innovation. He highlights a critical inversion happening in modern medicine. Historically, technology lagged behind clinical needs. Today, advanced technology vastly outpaces our institutional capacity to adopt it. The conversation delivers an evidence-based perspective on how to manage this rapid acceleration from a global innovator who understands both big pharma infrastructure and the reality of clinical adoption. Tune in to discover how forward-thinking medical leaders are realigning systemic incentives to transition from algorithmic task managers back to true, humanist healers. What You Will Discover: - Intro: The Tech-Adoption Paradox - Human Bubble: From Tech Hype To Structural Adaptation - What AI and Quantum Convergence Mean for Medicine? - The Paradigm Shift from Sick Care to Seeking Health - Task Automation vs. Job Displacement - Is AI Getting Overwhelming? Connect with us: Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™ 💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd 🔗Website - https://www.junaidkalia.com/ 📹YouTube - https://www.youtube.com/@junaidkaliamd Dr. Harvey Castro, ER Physician, #DrGPT™ 💼LinkedIn - https://www.linkedin.com/in/harveycastromd/ 🔗Website - https://www.harveycastromd.com/ 📷Instagram - https://www.instagram.com/harveycastromd/?hl=en 📑 Substack - https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼LinkedIn - https://www.linkedin.com/in/edwardmarx/ 🔗Website - https://www.marxadvisory.com/ 📹YouTube - https://www.youtube.com/@EdwardMarx Special Guest: Philippe Gerwill, Digital Healthcare Humanist & Futurist 💼LinkedIn - https://www.linkedin.com/in/philippegerwill/ Visit our website: https://signalandsymptoms.com/ Get advisory insights about Healthcare AI — at zero cost: https://junaidkaliamd.substack.com/