エピソード

  • Built Without Us: Physician Led AI Governance — Dr. Ryan Walsh (CMIO, Memorial Hermann)

    Built Without Us: Physician Led AI Governance — Dr. Ryan Walsh (CMIO, Memorial Hermann)
    2026/09/01

    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.
    続きを読む 一部表示
    11 分
  • The Decision, Not the Model: Lessons from Oncology AI — Dr. Agata Krasoń

    The Decision, Not the Model: Lessons from Oncology AI — Dr. Agata Krasoń
    2026/08/27

    “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.
    続きを読む 一部表示
    11 分
  • Run the Model Yourself: A Clinician’s Guide to Local AI

    Run the Model Yourself: A Clinician’s Guide to Local AI
    2026/08/19
    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 todayReferenced 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/@junaidkaliamdEdward Marx, CEO, Advisor (co-host)💼 LinkedIn — https://www.linkedin.com/in/edwardmarx/ 🔗 Website — https://www.marxadvisory.com/ 📹 YouTube — https://www.youtube.com/@EdwardMarxDR 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.
    続きを読む 一部表示
    11 分
  • Buyer to Builder — The Invisible Layer of Patient Monitoring

    Buyer to Builder — The Invisible Layer of Patient Monitoring
    2026/08/16
    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 dashboardWhat 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 patientReferenced 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 facilitiesConnect with us:Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of SaveLife.AI™ (host) 💼 LinkedIn — https://www.linkedin.com/in/junaidkaliamdDr. 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/@EdwardMarxSpecial Guest:Nayan D. Patel, SVP, Transformation & Digital Health, Neteera 💼 LinkedIn — https://linkedin.com/in/nayandpatelVisit 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.
    続きを読む 一部表示
    14 分
  • Explainable Clinical Digital Twins: One Engine for Power Plants and Patients

    Explainable Clinical Digital Twins: One Engine for Power Plants and Patients
    2026/07/23
    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/@EdwardMarxDr. 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/@junaidkaliamdSpecial 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-a554208aVisit our website: https://signalandsymptoms.comGet 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.
    続きを読む 一部表示
    18 分
  • Who Owns Your Medical Record Now? — Stephen Rouse, Co-Founder, Savva

    Who Owns Your Medical Record Now? — Stephen Rouse, Co-Founder, Savva
    2026/07/09
    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 nowReferenced 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/@EdwardMarxDr. Isha Mannering — Board-Certified Pediatrician, Founder of InTuneMDLinkedIn — https://linkedin.com/in/drishaSpecial Guest:Stephen Rouse, Co-Founder & Head of Growth, Savva💼 LinkedIn — https://linkedin.com/in/rousestephenVisit our website: https://signalandsymptoms.comGet 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.
    続きを読む 一部表示
    17 分
  • Can Medicine Keep Up with AI? — Dr. Yeshe Kway (Oxford)

    Can Medicine Keep Up with AI? — Dr. Yeshe Kway (Oxford)
    2026/07/02
    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 + AIReferenced 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/@EdwardMarxDr. Isha Mannering — Board-Certified Pediatrician, Founder of InTuneMDLinkedIn — https://linkedin.com/in/drishaSpecial 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.
    続きを読む 一部表示
    17 分
  • AI Won’t Replace Your Pediatrician — But It Will Change the Visit

    AI Won’t Replace Your Pediatrician — But It Will Change the Visit
    2026/06/23
    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 itReferenced 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/@junaidkaliamdDR 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/@EdwardMarxSpecial Guest:Dr. Isha Mannering, Board-Certified Pediatrician, Founder of InTuneMD 💼 LinkedIn — https://linkedin.com/in/drishaVisit 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.
    続きを読む 一部表示
    19 分