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Dr. Erica Schwartz, President Trump's nominee for CDC Director, outlines her impressive record of service: — Medical Doctor, MPH in epidemiology, law degree, biomedical engineering degree — Navy occupational medicine physician and clinical epidemiologist — U.S. Public Health Service detailed to the Coast Guard — Chief Medical Officer of the U.S. Coast Guard — Deputy U.S. Surgeon General

still figuring out stuff with my dad. physicians at other hospitals wont take him because his current physician isnt being communicative about his condition and what he needs. they were originally trying to force him into another amputation. after a week of pressing them, they said well there are other options... we will be taking him to an ER out of state and forcing our way into a different hospital that way. if you're a physician and you're not also an advocate for your patients, you do not deserve your job. shame on you.

GPT-5.5 Instant is now on par with our frontier Thinking models for health-related questions. Every week, more than 230 million people turn to ChatGPT with health and wellness questions, and GPT-5.5 Instant is better at recognizing when urgent care may be needed, asking for relevant context, explaining uncertainty, and making complex information easier to understand. Because GPT-5.5 Instant is available to all free users in ChatGPT, these improvements can help more people. Physician-led evaluation was critical to making these major intelligence gains.

While showbiz bickers over AI video continuity glitches and educators remain stuck debating AI-generated PPTs, World Models are quietly disrupting non-tech sectors, igniting a radical paradigm shift in clinical medicine and surgical simulation. Why healthcare and not Hollywood? Because Hollywood demands visual perfection, but healthcare mandates absolute physical causality. Traditional medical AI could only act as a static periscope—pinpointing a lesion on an existing scan. Yet disease is inherently dynamic. When a physician prescribes a treatment, they historically lacked a patient-specific, long-term window into the exact downstream changes after the patient ingests the drug. Recent breakthroughs showcased at elite computing summits like ICCV have elevated medical AI from passive visual recognition to a predictive, generative "World Simulator" tailored for prognosis and treatment optimization. In validated clinical applications, this technology leverages potent counterfactual reasoning. Take transarterial chemoembolization (TACE) for liver cancer and advanced radiotherapy as prime examples: before finalizing an intervention, a Medical World Model (MeWM) ingests a patient’s current CT imagery to simulate months of dynamic disease progression within its latent space. It cross-aligns multimodal parameters to synthesize high-fidelity visual representations of post-treatment tumor trajectories. Simultaneously, its inverse dynamics model quantifies how varying embolic agents or drug cocktails shift long-term survival curves. Empirically, this "future-simulation" paradigm has propelled clinical decision success rates (F1-score) by 13%, cementing its role as an indispensable AI co-pilot. Today, multimodal medical models are rapidly embedding into hospital HIS/EMR nervous systems, as specialized prognosis simulators push past theoretical boundaries into raw performance validation. The ultimate utility of a World Model isn't coding text or animating fantasy; it is evolving into a rigorous, low-cost simulation infrastructure—serving as a high-stakes safeguard for human decision-making. 【The Grand Forecast】 The successful clinical deployment of Medical World Models proves their unique capacity to "simulate future outcomes before executing current actions." This technical paradigm—trading pure aesthetic appeal for rigid physical and biological causality—is sprawling beyond tech ecosystems at a breakneck speed. Stripping away healthcare, autonomous driving, and media entertainment, which trial-and-error heavy traditional industry do you predict World Models will infiltrate and disrupt next? Will it be macro-climate disaster modeling in modern agriculture, dynamic supply-chain evolution in urban planning, extreme stress-testing in deep-sea aerospace engineering, or an entirely unmapped frontier? Drop your sharpest thesis and reasoning in the comments below. Let’s chart the hidden industrial landscape of the next generation of World Models!

Mark Cuban recently asked why health insurers are not liable for malpractice when their denials harm patients. We've been asking the same question. It's becoming clear to American public, physicians, and the adminstration that the health system is specificaly designed to avoid accountability. Read Executive Director Dr. Brad Wenstrup's new op-ed in @thehill:

Between rooms. On rounds. Walking the corridor outside an OR. Charting one-handed during a phone call. This is where clinical questions happen. Today we're launching Voice Mode. OpenEvidence is the first multimodal medical AI: physicians can type, speak, or listen, on the same evidence base. The clinician asks a clinical question out loud. Voice Mode waits when you pause, stops when you interrupt. The answer comes back concise, peer-reviewed, and verifiable against the source. Conversation with a colleague. That was the bar. For years we've focused on the intelligence: curation, retrieval, citations. Voice Mode is the interface catching up to where physicians practice. The evidence quality doesn't change with the modality. Voice answers are shorter and shaped for listening; the references and the full written form stay in the conversation. Voice Mode is now in OpenEvidence web and mobile.

Honored to interview Dr. Eldrin Lewis, Chief of Cardiology at Stanford, on The Physician’s Pulse about physician well-being, burnout, mentorship, leadership, and the future of medicine. Watch/listen: YouTube: Spotify: Apple: @StanfordMed @AmerMedicalAssn @CMAdocs @CaliforniaACC @ACCinTouch

In testing, AI co-clinician matched or outperformed physicians in 68 out of 140 assessed areas, including triage. Yet humans were easily better at spotting crucial red flags and guiding physical exams - showing how these tools could augment clinical judgment. See the benchmarks ↓

The system uses live video and audio to process physical symptoms in real-time. This means it could analyze a patient's walk, listen to their breathing, or look at how a rash is appearing. Alongside physicians from @Harvardmed and @StanfordMed, we created a simulation study with 20 scenarios and “patient-actors”. Watch how AI co-clinician reasons and diagnoses. ↓

Jake Tapper used his segment this week to tell a story about what medical AI actually does when a physician is facing a complex case with ambiguous symptoms. Daniel Nadler, founder and CEO of OpenEvidence, walked him through it. Watch.