medAI Times

medAI Times is a daily podcast on artificial intelligence in medicine. Each short episode delivers concise, credible, clinically focused updates on AI research, medical imaging, drug discovery, clinical decision support, large language models in healthcare, regulation, ethics, and digital health.Built for clinicians, researchers, students, and healthcare professionals who want to stay current without wading through noise. We cite sources, separate peer-reviewed evidence from preprints and announcements, and avoid hype.New episodes daily.For educational and informational purposes only. Not medical advice.

medAI Times is a health podcast hosted by Unknown Host, with 28 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts medAI Times, a health show with 28 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #91

  Should You Ask AI or Your Doctor? 2026 Evidence — Jul 27, 2026

  Jul 27, 20267 minS1

  Chatbots beat doctors on paper. Then real patients used them and it fell apart. Run time: 6:50 In today's episode: Chatbot answers rated more empathetic than doctors, preferred 79% of the time GPT-4 alone beat physicians by ~15 points on diagnostic vignettes Google's AMIE matched or beat primary care docs in text consultations Microsoft's system solved 85% of hard NEJM cases vs doctors' 20% Oxford RCT: patients using LLMs did no better than a web search Half of consumer chatbot medical advice carried potential for harm ~1 in 6 US adults now use an AI chatbot for health advice monthly TL;DR: On clean written cases, AI genuinely out-diagnoses doctors — that part is peer-reviewed, not hype. On real patients doing their own typing, that edge vanishes: an Oxford RCT (~1,300 people) found LLM users did no better than web search, because patients omit the detail that matters and models mix right advice with wrong. What's actually deployed is the opposite of a doctor replacement: clinician tools like OpenEvidence (used by ~65% of US doctors) keep a licensed human between the model and the prescription. No LLM is FDA-cleared to diagnose you solo. Sources cited: JAMA Internal Medicine, Ayers et al. JAMA Network Open, Goh et al. Nature, Google DeepMind Microsoft AI Oxford, Nuffield Dept of Primary Care (Payne et al.) NBC News on OpenEvidence Subscribe: YouTube medAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.

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  Episode #88

  ChatGPT Health Now Reads Your Medical Records — Jul 24, 2026

  Jul 24, 20267 minS1

  Three hundred million health questions a week. Chat G P T just opened the doors. Run time: 7:11 In today's episode: ChatGPT Health opens to every US adult FDA lets Dexcom skip part of premarket review White House starts clinical AI benchmarking sprint Nature Medicine RCT: eye AI lifts diagnosis Utah publishes AI prescription renewal data Medtronic clears real-time AI for surgery Tempus buys Personalis for $1.5 billion Epic's AI leader joins an executive exodus AMD invests up to $5 billion in Anthropic Anthropic opens rare-disease research grants OpenAI's test models breached Hugging Face Google ships Gemini 3.6 Flash, still no 3.5 Pro TL;DR: ChatGPT Health is now open to every US adult on every plan, connected to Epic and Oracle Health records, at 300 million health queries a week — with zero outcome evidence and a fresh lawsuit. Washington moved twice in one week: the FDA gave Dexcom the first premarket exemption under its TEMPO pilot in exchange for Medicare-generated real-world evidence, while OSTP, FDA and ONC opened a one-month sprint to define how clinical AI should be evaluated at all. The week's only top-tier randomized trial (Nature Medicine, July 24) worked because a clinician stayed in the loop: AI-assisted top-5 genetic accuracy 88.5% vs 67.3% for controls in inherited retinal disease. Sources cited: TechCrunch MedTech Dive STAT Nature Medicine Forbes Medtronic MedCity News STAT AMD/GlobeNewswire Anthropic Subscribe: YouTube medAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.

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  Episode #84

  How AlphaFold Changed Medicine: The 2026 Reality — Jul 20, 2026

  Jul 20, 20267 minS1

  Two hundred million protein shapes, one Nobel Prize, and still zero A I drugs approved. Run time: 6:32 In today's episode: AlphaFold two hit ~90/100 accuracy at CASP14 (2020) Database now covers 214M+ protein sequences, 3M+ users 2024 Nobel Prize: Hassabis, Jumper (AlphaFold) + Baker (design) AlphaFold3 predicts drug-protein binding, 58% vs 24% docking Static shapes only — fails on flexible, shape-shifting targets Zero AlphaFold-designed drugs approved; first trials targeted end-2026 TL;DR: Real, at the research layer: AlphaFold solved a 50-year protein-shape problem (peer-reviewed, Nobel-confirmed) and put 214M+ free structures in front of 3M+ scientists in ~190 countries — it changed how medical research begins. Not yet, at the clinic: No AlphaFold-designed drug is approved or, as of spring 2026, even dosed in a patient; the models predict one static shape and stumble on the flexible drug targets that matter most. The milestone to watch: Isomorphic Labs (DeepMind spinout, $2.1B Series B) targets its first human cancer trials by end-2026 — that first-dose event, not the Nobel, is where "changed medicine" gets tested against outcome evidence. Sources cited: Nature 2021, Jumper et al. Nucleic Acids Research 2024, Varadi et al. Nature 2024, Abramson et al. EMBL-EBI resource update PMC 2025, anti-schistosomal docking pipeline bioRxiv 2025, AlphaFold3 in Drug Discovery: capabilities & limitations Isomorphic Labs, $2.1B Series B (May 2026) NobelPrize.org, Chemistry 2024 Subscribe: YouTube medAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.

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  Episode #81

  Mayo Clinic Now Runs 150 AI Models — Jul 17, 2026

  Jul 17, 20267 minS1

  Mayo Clinic is now running a hundred and fifty AI models at once. Run time: 6:48 In today's episode: Mayo Clinic now runs 150 AI models Senate probes Medicare Advantage AI care denials Specialized tool beats GPT, Gemini, Claude Causal AI: the vasopressor call decides survival AI drugs pass safety, stall on efficacy NeuroVFM reads a hospital's own scans Claude adds self-serve HIPAA setup Moonshot's Kimi K3 lands at 2.8T params TL;DR: Mayo's 150 models plus a whistleblower suit show hospital AI's real fight has moved from capability to governance. The Senate and the HHS inspector general are closing in on Medicare Advantage AI denials, and the GOP just blocked a bid to kill the WISeR AI prior-auth pilot. Three peer-reviewed reads this week — OpenEvidence beating frontier LLMs, causal sepsis dosing, and the AI-drug Phase 2 wall — all land on the same point: a benchmark is not a bedside outcome. Sources cited: CNN Business (via KESQ) STAT Healthcare Dive STAT (WISeR vote) arXiv 2606.28960 medRxiv 10.64898/2026.07.06.26357375 Drug Discovery Today (2024) Nature Medicine Anthropic (release notes via Releasebot) LLM-Stats AI news Subscribe: YouTube medAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.

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  Episode #77

  China vs US vs UAE: Who's Winning Healthcare AI? — Jul 13, 2026

  Jul 13, 20267 minS1

  Three countries claim they're winning healthcare AI. None can prove it helps patients yet. Run time: 6:44 In today's episode: US leads on approvals: 1,400-plus FDA-cleared AI devices China leads on scale: DeepSeek live in 260-plus hospitals UAE leads on data: ~1M genomes sequenced, open clinical LLM Deep Knowledge index (May 2026): US 1, UK 2, China 3 The catch: almost none of it tied to patient outcomes TL;DR: There's no single winner — the US leads on capital, approvals, and frontier models; China leads on national-scale deployment; the UAE leads on genomic depth and sovereign data. Different races, different scoreboards. The headline numbers are inputs, not outcomes: FDA device counts, hospital deployments, genomes sequenced. None of the three has published randomized, outcome-level evidence that its AI makes patients live longer. China's flagship "Agent Hospital" 93% score is a simulation (AI treating AI-generated patients); America's ~1,400 clearances mostly ran the 510(k) resemblance pathway; the UAE's genome bank has few published clinical endpoints so far. Sources cited: FDA AI-Enabled Medical Devices CKGSB Knowledge Global Times Semafor medRxiv preprint G42 / M42 SCMP / Deep Knowledge Group Subscribe: YouTube medAI Times is for educational and informational purposes only. The content does not constitute medical advice, diagnosis, treatment recommendation, or professional clinical guidance. Consult qualified healthcare professionals and refer to official sources before making clinical, research, regulatory, or business decisions.

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