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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: research

Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review

Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review

June 16, 2025June 16, 2025npj Digital Medicine

As digital biomarkers gain traction in Alzheimer’s disease (AD) diagnosis, understanding recent advancements is crucial. This review conducts a bibliometric analysis of 431 studies from five online databases: Web of Science, PubMed, Embase, IEEE…

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A scoping review and evidence gap analysis of clinical AI fairness

A scoping review and evidence gap analysis of clinical AI fairness

June 14, 2025June 14, 2025npj Digital Medicine

The ethical integration of artificial intelligence (AI) in healthcare necessitates addressing fairness. AI fairness involves mitigating biases in AI and leveraging AI to promote equity. Despite advancements, significant disconnects persist between technical solutions and…

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A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data

A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data

June 14, 2025June 14, 2025npj Digital Medicine

The widespread adoption of Electronic Health Records (EHRs) and deep learning, particularly through Self-Supervised Representation Learning (SSRL) for categorical data, has transformed clinical decision-making. This scoping review, following PRISMA-ScR guidelines, examines 46 studies published…

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Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions

June 13, 2025June 14, 2025JMIR mHealth and uHealth

Background: Monitoring hydration is crucial for maintaining health and preventing dehydration. Despite the potential of wearable devices for continuous hydration monitoring, health research hasn’t fully explored this application, and clear design guidelines are absent….

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NIH Funding Cuts Threaten Medical Research

NIH Funding Cuts Threaten Medical Research

June 13, 2025June 13, 2025DistilINFO Hospital IT

The recent wave of National Institutes of Health (NIH) grant terminations has created an unprecedented crisis in American medical research, stripping nearly $2 billion in critical funding from U.S. medical schools and hospitals. This…

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Devastating Cuts Threaten Rural Hospital Closures

Devastating Cuts Threaten Rural Hospital Closures

June 13, 2025June 13, 2025DistilINFO Hospital IT

Critical Financial Crisis Threatens Rural Healthcare Access
Hundreds of rural hospitals across America stand on the precipice of financial collapse, with healthcare funding cuts and coverage eligibility changes in the recently passed House reconciliation package…

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How Cyber Threats Are Reshaping Healthcare Revenue Cycle Strategy

How Cyber Threats Are Reshaping Healthcare Revenue Cycle Strategy

June 13, 2025June 13, 2025HIT Consultant

Karly Rowe, SVP, Product Management & Interim President & General Manager, Provider at Inovalon

The impact of any data breach cannot be overstated, especially in healthcare. Unlike other sectors, such as financial services or travel,…

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Life After GLP-1s: New Report Shows How to Avoid Weight Regain

Life After GLP-1s: New Report Shows How to Avoid Weight Regain

June 13, 2025June 13, 2025HIT Consultant

What You Should Know: 

– A new report released by Virta Health, a leader in diabetes reversal and sustainable weight loss, offers an optimistic counter-narrative to the prevailing belief that weight regain is inevitable after…

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New AI can improve non-derma’s ability to diagnose skin conditions

New AI can improve non-derma’s ability to diagnose skin conditions

June 13, 2025June 13, 2025MobiHealthNews

A new AI model that is capable of simultaneous analysis of different skin images can potentially improve the diagnostic accuracy of both dermatology and non-dermatology professionals. An international research team led by AI and machine…

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Effects of Remote Web-Based Interventions on the Physiological and Psychological States of Patients With Cancer: Systematic Review With Meta-Analysis

Effects of Remote Web-Based Interventions on the Physiological and Psychological States of Patients With Cancer: Systematic Review With Meta-Analysis

June 12, 2025June 13, 2025JMIR mHealth and uHealth

Background: Patients with cancer may experience physiological and psychological adverse reactions, such as fatigue, pain, anxiety, and depression, which seriously affect their quality of life. Research has shown that remote interventions based on apps…

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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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