Agentic AI will automate tasks today — and redesign care models tomorrow. Hospitals & plans can’t afford to ignore this shift. Read the article 🔗 https://t.co/iAzZysMNQp And continue the conversation with NTT DATA at #HIMSS26 🙌 @NTT_DATA_NA #AgenticAI #HITSM

Can an AI model be a generalist to work and perform well for all types of medical images? Just published, our MedVersa paper @NEJM_AI Led by @pranavrajpurkar Free access https://t.co/5llNf94hAF https://t.co/Bf01zUZ1sk
NEW webinar on Continuous Glucose Monitoring in sport. Register for the webinar and learn about this fascinating technology. https://t.co/w7k7zUSoOY https://t.co/JqfK90gkGN

Do a futures wheel or scenario analysis exercise with your team the next time you are thinking about the future. In this paper, we describe how to do that and which method to choose. It's available in JMIR: https://t.co/BUP5MVqnks https://t.co/0UofN0ZGIM
Developing an optical tactile sensor for tracking head motion during radiotherapy: an interview with Bhoomika Gandhi https://t.co/RvtMbgrSUf
I loved my interview with legendary business analyst & founder of "Business Insider", Henry Blodget (@hblodget), on his podcast, "Solutions." Lots of smart questions about AI and healthcare, and how it'll change what it means to be a doctor and...

We've used a blood test—cell free DNA—for detecting cancer or prenatal fetal abnormalities. It turns out it can be used to detect liver diseases and all-cause mortality from other conditions @ScienceTM https://t.co/IJxPMq7hGU
When every state regulates consent differently, scale breaks. Mariann Yeager shares why model language and technical standards are critical for nationwide interoperability. 👇 https://t.co/Aa3zjJYTw4 @sequoiaproject #patientadvocates #HITSM https://t.co/I3cN0lmdLk

When your "normal" abdominal CT tells you about the 5-year future risks that can't be seen by radiologists, but can by AI (Merlin) https://t.co/DemC983uKz https://t.co/9jqZyVTD3p
It got me at "across all domains of life" Predicting pathogenicity of non-coding regions, produces sequences at genome scale, and much more Evo 2, open-source, @Nature today @arcinstitute @pdhsu @BrianHie https://t.co/9CZWmPFhjd

Batch effects once caused 162 patients to be misclassified. 28 of them received incorrect or unnecessary chemotherapy. The culprit? Contaminated RNA extraction that introduced technical artifacts into the data. https://t.co/WBBFKgvzVC
Healthcare AI ≠ just LLMs. CognomIQ unveils a semantic data operating system at ViVE 2026. One platform. End-to-end. From #ViVE2026 👇 https://t.co/HatKWPoOWo

Cancer blood tests for screening? Not the way they've been studied to date (age 50+) A new feature @Nature “I’m confident we’re going to see more accurate tests going forward. In high-risk groups, such as those with a genetic predisposition,...

When, almost a decade ago, I first used the Muse headband to meditate, I liked the idea, and I had no doubt that the device could deliver what the company said it could, but I had a mixed experience meditating...
Earlier diagnosis can change the trajectory of Alzheimer’s. Yet thousands of people in the UK still live with dementia for years before receiving a formal diagnosis. The signals are often already present in clinical records, they are simply fragmented across...
Maybe it's not new, but that's the first time I saw a digital tourniquet. It is designed to help anyone quickly stop the bleeding. No training required. Just tighten, press, and save a life. This is the line companies like XMetix...

New Device Detects Brain Waves in Mini Brains Mimicking Early Human Development by @ShellyFan https://t.co/oMMhx9ux8Q https://t.co/6321RBopxf
AI dominates health-tech headlines. It barely appears in NHS job adverts. Meanwhile, programme management and digital transformation make up over half of actual hiring and get little attention. Headlines create excitement. Hiring data creates careers.

Small language models (SLMs) are gaining attention in the generative AI field. SLMs are trained on relatively small amounts of data and have a relatively small number of parameters. SLM can be more practical than large language models as they are...
This week on Lifers, I interviewed @othman about how he navigated @color through three massive pivots—from cancer genetics to national COVID infrastructure and now a virtual cancer clinic. Timestamps: (00:00) Preview (00:58) Intro (01:03) Lessons from Figma and betting on the tortoise over the...
A new systematic review of LLMs in medicine @NatureMedicine @ekoermann https://t.co/npvDeqUvel “Despite thousands [4,609] of publications since late 2022, only a small fraction use real clinical data and just 19 randomized trials exist.”

What was the first health sensor you ever used that proved to you how health management would change with such technologies? My core experience was when the Pebble smartwatch (that came out after a successful crowdfunding campaign) measured my sleep and...
What is the diagnostic yield of MRI in adult emergency patients with dizziness or vertigo? While MRI is efficient for detecting central causes of dizziness, its yield is low in cases of isolated dizziness without neurological signs. 👇 https://t.co/170qBbHrq7

Alzheimer’s research is increasingly looking beyond plaques and tangles to the brain’s immune response. A study published in Elsevier's Pharmacological Research journal used AI to screen 1.6M compounds for a Galectin-3 (Gal-3) blocker that could cross the brain barrier. In Alzheimer’s-like...
I remember what it was like to study the heart from textbooks and medical atlases. This video demonstrates how different the experience could be with mixed reality. It could lead to a new level of understanding of anatomy and pathology. The...
How to use ChatGPT as a doctor (properly) Not for diagnosis. Not to replace your brain. Use it to: • Simplify complex topics for patients • Draft patient education handouts • Create clinic SOPs • Generate content ideas • Structure research summaries • Prepare presentations • Improve communication clarity Think of...
@PBS: Five things to consider before asking a chatbot for health advice (by @AP_FDAwriter). Among them: ask two different AIs and see if they agree; don't stay home if you have red flag symptoms like chest pain, shortness of breath....

I’ll be joining a Zoom discussion hosted by Roon on March 5, 1:30-2:30 ET. We'll discuss how clinicians are using AI in actual practice and the implications. I'll be joined by 3 eminent colleagues: Mandy Cohen, Sara Murray, & Spencer...
Revenue cycle. Clinical workflows. Payer ops. AI agents that reason across your ecosystem — not just search it. Join the Anshar AI Pre-HIMSS VIP Reveal TOMORROW at 12PM EST. Save your spot 👇 https://t.co/RbBBgSRT3Y #AnsharAI #HIMSS26
From AI to quantum chemistry to health tech, startups from my alma mater are scaling globally – raising over US$10B since 2020 and reshaping industries. I’m excited to spotlight six founders from the University of Toronto ecosystem building game-changing companies:...

The breakthrough blood test p-tau 217 for risk and diagnosis of Alzheimer's disease is more accurate than total p-tau 217, in a head-to-head comparison using PET imaging https://t.co/faILpVr9Ua https://t.co/lzUgFnFUP5
Onboarding your team or clinic to a new AI tool is so important, but often difficult. At Glass, we've made it incredibly easy — you can now get your whole clinic set up in a few minutes.
🚨Computation Without Consequence 👉A clinical study reveals the divide between AI computation and human judgment. 📌AI handles patterns with ease. 📌Humans feel the weight of being wrong. 📌That’s where the divide becomes clear and important. https://t.co/tjfOTsWnCC #AI #medicine #digitalhealth

AI of whole slide images for cancer molecular markers is not ready for clinical use due to confounding and biases ("shortcut learning"), supported by multiple examples @natBME https://t.co/zG8uVIxrJf https://t.co/hQ0tjiapIJ

I keep seeing AI-pilled people arguing that AI agents will magically solve patient engagement - but it won’t. If it were that easy, non-Tech solutions would’ve solved it already. At @SeamlessMD, I’ve spent the last 13+ years working with health systems...
System consolidation looks efficient—until you count the cost of disruption. Strong view from @Provationmed on why migrating away from purpose-built clinical documentation puts adoption, revenue, and trust at risk. ➡️ https://t.co/WahjLaV8Wl #ClinDoc #CIOInsights #HITSM
Someday we'll be able to track our immune system like we do glucose Today @NatBME https://t.co/HFcFiUeyFg Previously @ScienceMagazine https://t.co/EcgBdwGxcd https://t.co/SpoZ5bLtjx
Every year while reviewing the #ECR program, I think: “This year won’t be that different.” Every year, I’m wrong. Radiology absorbs AI at impressive speed. Our conferences now move at the speed of tech. 🚀 #ECR2026 #radiology #AI @myESR

A pan-cancer compendium of 1,294 plasma cell-free DNA methylomes and fragmentomes enabling multicancer detection https://t.co/A6gHwcEzqq https://t.co/mSMcR0a833

Some very good news about engineering our cells vs cancer (accelerating the CAR). A short thread 1. For background, a new 5★ review on cancer immunotherapy @Cancer_Cell https://t.co/1Qz2rCs8I5 https://t.co/sJ6BwaXyjk
"Smart” doesn’t mean distant. The smartest hospital ecosystems actually bring clinicians closer to patients by reducing administrative burden. Insights from Jeff Fallon at eVideon: https://t.co/x7o1COnGIe @eVideon @TigerConnect #SmartHospitals #HITsm https://t.co/PVVG70mbKN
Consumers are using AI outside your system. Is your digital strategy keeping up? @SearchStax VP of Healthcare has some important insights to consider... #ViVE2026 #ViVEvent https://t.co/0zpqCVyooc
Hospitals aren’t asking IF they need virtual care anymore — they’re asking how deeply it integrates. Insightful take from @_artisight's Jay Lyonett at #ViVE2026. 👉 https://t.co/ckEzNYH8oS
An important study just came out that is the first to evaluate patient safety when it comes to ChatGPT Health. Millions of people are using LLMs every week to triage health conditions, but this new study has found concerning inconsistencies. https://t.co/etjthA2olM

AI is helping to make the diagnosis of rare diseases. A new multicenter study in Japan showed smartphone AI diagnosis of acromegaly via hands was better than experienced endocrinologists https://t.co/qBiazetToV https://t.co/dSZpJ2us84

I used to teach that "aging is just wear-and-tear." A new Nature paper used 7 days of wrist-wearable data from ~62,000 adults and found your circadian rhythm patterns (amplitude + stability) and MVPA predict inflammation-linked biological aging. Low rhythm amplitude and poor...

While every medical specialty will benefit from digital health and AI, some will especially thrive thanks to these innovations. Here, I listed the top medical specialties with the biggest potential for development in the future. Read on: https://t.co/KhId1Okqf2 https://t.co/rgvsDAjS1q
"We only have one partner logo to show. How do we build credibility?" This came up in a call with a healthcare AI company. Early stage, incredible tech, but limited social proof. Here's what I recommended instead of the traditional logo wall: →...

Clicker training works on orthopaedic surgeons. A study taught surgical skills using a clicker for real-time feedback. 100% of that group nailed every step of a knot tie, vs 33% who learned by demonstration alone.
Legacy IT debt and aging hospital infrastructure could quietly limit AI adoption. The real question isn’t just “What AI tool should we use?” It’s “Is our network ready for what’s next?” That’s the lens @VerizonBusiness brought to the #ViVE2026 conversation. 👇 https://t.co/XjHRtFctef