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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: model

Advanced Machine Learning Tool Flags Undiagnosed Immunodeficiency Diseases

Advanced Machine Learning Tool Flags Undiagnosed Immunodeficiency Diseases

May 10, 2024May 10, 2024DistilINFO Hospital IT

Table of Contents

Introduction
Understanding Common Variable Immunodeficiency (CVID)
Challenges in Diagnosing CVID
The Role of Machine Learning in Diagnosing CVID
PheNet: A New Diagnostic Machine Learning Model
Implications and Future Directions
FAQs

Introduction
Recent advancements in machine learning have provided significant opportunities…

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Healthcare AI News 5/8/24 – HIStalk

Healthcare AI News 5/8/24 – HIStalk

May 8, 2024May 9, 2024HIStalk

News

The American Hospital Association asks Congress to employ flexibility in any decisions to regulate AI in healthcare, proposing use of a sliding scale that is based on risk and the level of human oversight…

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Cedars-Sinai research shows deep learning model could improve AFib detection

Cedars-Sinai research shows deep learning model could improve AFib detection

May 8, 2024May 9, 2024Healthcare IT news

A new artificial intelligence approach developed by investigators in Cedars-Sinai’s Los Angeles-based Smidt Heart Institute has been shown to detect abnormal heart rhythms associated with atrial fibrillation that might otherwise be unnoticed by physicians.WHY…

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Cera AI-led social care forecast to save NHS £1bn a year

Cera AI-led social care forecast to save NHS £1bn a year

May 8, 2024May 9, 2024Digital Health

NHS leaders could save the healthcare system £1 billion a year by autumn 2026, if they were to adopt a new AI-led model of home healthcare from Cera, according to a study from Faculty.The…

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Hong Kong big data utilised for building predictive AI and more AI briefs

Hong Kong big data utilised for building predictive AI and more AI briefs

May 6, 2024May 6, 2024Healthcare IT news

CU Medicine develops severe hypoglycemia predictive AI Researchers from the Faculty of Medicine at the Chinese University of Hong Kong (CU Medicine) have utilised anonymised big data from the Hospital Authority Data Collaboration Laboratory to…

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FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer

FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer

May 4, 2024May 4, 2024npj Digital Medicine

Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA interpretation, but these…

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A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth

A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth

May 4, 2024May 4, 2024npj Digital Medicine

Alcohol consumption is associated with a wide variety of preventable health complications and is a major risk factor for all-cause mortality in the age group 15-47 years. To reduce dangerous drinking behavior, eHealth applications…

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NVIDIA integrates its AI microservices with AWS

NVIDIA integrates its AI microservices with AWS

May 3, 2024May 3, 2024Healthcare IT news

As part of NVIDIA’s AI Enterprise software available on AWS Marketplace, developers will gain access to an expanding AI model library through standard APIs.This integration with Amazon SageMaker and AWS ParallelCluster is designed to…

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NVIDIA Makes Drug Discovery, Medical Imaging, and Genomics Easier with Cloud-Based AI

NVIDIA Makes Drug Discovery, Medical Imaging, and Genomics Easier with Cloud-Based AI

May 3, 2024May 3, 2024HIT Consultant

What You Should Know:

– Harnessing the power of AI for healthcare just got simpler. NVIDIA announced the integration of NVIDIA NIM, a collection of cloud-native AI microservices, with Amazon Web Services (AWS). 

– The strategic…

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Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

May 3, 2024May 3, 2024npj Digital Medicine

Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited….

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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

Recent Posts

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

    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
  • What impact has healow had on your organization and the patients’ experience?

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    January 31, 2026February 1, 2026Comments Off on What impact has healow had on your organization and the patients’ experience?
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    January 31, 2026February 1, 2026Comments Off on Weekly Roundup – January 31, 2026
  • Embedding clinical intelligence to help close care gaps

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    January 31, 2026January 31, 2026Comments Off on Embedding clinical intelligence to help close care gaps
  • 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, 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
  • Meditech founder Neil Pappalardo dies at 83

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    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
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    The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    January 31, 2026January 31, 2026Comments Off on The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment
  • Decagon raises $250M for AI agents, triples valuation to $4.5B

    Decagon raises $250M for AI agents, triples valuation to $4.5B

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