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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: Large Language Models

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

April 24, 2024April 24, 2024npj Digital Medicine

Large language models (LLMs) can potentially transform healthcare, particularly in providing the right information to the right provider at the right time in the hospital workflow. This study investigates the integration of LLMs into…

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Augmented non-hallucinating large language models as medical information curators

Augmented non-hallucinating large language models as medical information curators

April 23, 2024April 23, 2024npj Digital Medicine

Reliably processing and interlinking medical information has been recognized as a critical foundation to the digital transformation of medical workflows, and despite the development of medical ontologies, the optimization of these has been a…

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Embracing Generative AI and Large Language Models in Senior Care

Embracing Generative AI and Large Language Models in Senior Care

April 17, 2024April 18, 2024HealthTech Magazine

The Rise of Generative AI and LLMs
Generative AI and LLMs have captured the public’s interest and imagination for good reason. These technologies have the power to create content, from text to images and beyond,…

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King’s College London AI tool to predict health events

King’s College London AI tool to predict health events

April 11, 2024April 11, 2024Digital Health

A new study led by King’s College London has demonstrated the potential of Foresight, an AI tool, to predict the health trajectory of patient by forecasting future disorders, symptoms, medications and procedures. The tool…

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Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search

Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search

March 26, 2024March 26, 2024HIT Consultant

What You Should Know: Artificial intelligence has transformative potential for driving value and insights from data. As we progress toward a world where nearly every application will be AI-driven, developers building those applications will…

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Large Language Models Inch Their Way Toward Competence - Mayo Clinic Platform

Large Language Models Inch Their Way Toward Competence – Mayo Clinic Platform

March 25, 2024March 26, 2024Digital Health Frontier

The latest research suggests that these digital tools will eventually become useful medical assistants, but we still need to watch for unpredictable fabrications and misstatements.

By Paul Cerrato, MA, senior research analyst and communications specialist,…

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MEDITECH Integrates Ambient Listening into Expanse EHR

MEDITECH Integrates Ambient Listening into Expanse EHR

March 12, 2024March 13, 2024HIT Consultant

What You Should Know:

– MEDITECH, a provider of Electronic Health Records (EHR) systems, is taking a significant step towards reducing clinician documentation burden by integrating ambient listening technology into its Expanse EHR platform.

– The…

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Magentus takes shot at genAI with Google Cloud and more partnership briefs

Magentus takes shot at genAI with Google Cloud and more partnership briefs

March 8, 2024March 8, 2024MobiHealthNews

Magentus taps Google Cloud for genAIMagentus has engaged Google Cloud to help it build a “centralised and secure” foundation for customer data in the cloud, leveraging generative AI solutions and large language models.
The health…

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DeepScribe and AWS Partner to Advance AI-Powered Medical Documentation

DeepScribe and AWS Partner to Advance AI-Powered Medical Documentation

February 26, 2024February 27, 2024HIT Consultant

What You Should Know:

– DeepScribe, a pioneer in AI-powered medical documentation, today announced a collaboration with Amazon Web Services (AWS) aimed at accelerating the secure scaling of large language models (LLMs) within the healthcare…

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GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

February 23, 2024February 23, 2024Health IT Analytics

By Shania Kennedy

February 23, 2024 – Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4)can match, or in some cases outperform, ophthalmologists in the…

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The most evolutionary change coming to hospital rooms of the future is that they will be in your own home. For certain acute conditions, the hospital room will come to you. You will be able to convalesce in the comfort of your own home by using portable technology and next-generation healthcare equipment. This will allow for high quality care to be rendered in a person's home by medical professionals both onsite and virtually.

Nick Patel

Recent Posts

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
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