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Tuesday, March 17, 2026
Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: LLM

When Physicians Go Head-to-Head with Large Language Models

When Physicians Go Head-to-Head with Large Language Models

May 10, 2023May 11, 2023Digital Health Frontier

What happens when ChatGPT-4 and a human cardiologist are asked to diagnose the same patient? The results are quite revealing.

By Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform, and John Halamka,…

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Google to offer limited access to medical LLM

Google to offer limited access to medical LLM

April 14, 2023April 15, 2023MobiHealthNews

Google has announced that Med-PaLM 2, the tech giant’s medical large language model, will be available to select Google Cloud customers in the coming weeks to share feedback, explore use cases and for limited…

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Large Language Models: Establishing a Better Roadmap

Large Language Models: Establishing a Better Roadmap

April 12, 2023April 13, 2023Digital Health Frontier

Understanding their limitations, defining the best use cases, and closing the gaps in transparency and trustworthiness are the keys to responsible LLM adoption. Sonya Makhni, M.D., M.B.A., M.S., Medical Director and clinical informaticist at…

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Kahun Integrates AI Physician Chatbot with ChatGPT

Kahun Integrates AI Physician Chatbot with ChatGPT

March 31, 2023April 2, 2023HIT Consultant

What You Should Know:– Kahun, an evidence-based clinical reasoning tool for physicians announced it is integrating its AI chatbot for physicians with ChatGPT, an open-source AI chatbot platform to build on the advanced Large Language…

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MediFormatica Daily Digest – Thursday, March 16, 2023 – (49 posts)

March 16, 2023April 11, 2023Daily Digest

In todays fast-paced world, it is easy to miss out on important information, especially if you are trying to keep up with a lot of different sources. That is where the daily digest comes in – it is a tool that compiles all the posts created on the previous day, providing you with a convenient […]

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MediFormatica Daily Digest – Wednesday, March 15, 2023 – (69 posts)

March 16, 2023April 11, 2023Daily Digest

In todays fast-paced world, it is easy to miss out on important information, especially if you are trying to keep up with a lot of different sources. That is where the daily digest comes in – it is a tool that compiles all the posts created on the previous day, providing you with a convenient […]

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What Role Could ChatGPT Have in Clinical Trials? A Bigger One Than You Might Think

What Role Could ChatGPT Have in Clinical Trials? A Bigger One Than You Might Think

March 16, 2023April 11, 2023MedCity News

Large Language Models (LLM) like ChatGPT have taken the world by storm, with everyone from researchers to tech enthusiasts excited about the almost limitless potential of these models. And yes, I’ll admit it that…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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