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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: Stroke

Systematic review: digital biomarkers of fatigue in chronic diseases

Systematic review: digital biomarkers of fatigue in chronic diseases

October 8, 2025October 8, 2025npj Digital Medicine

This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions in 13…

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Economic Evaluation of a Multicomponent mHealth Intervention for Stroke Management in Rural China: Cluster-Randomized Trial With 6-Year Follow-Up

Economic Evaluation of a Multicomponent mHealth Intervention for Stroke Management in Rural China: Cluster-Randomized Trial With 6-Year Follow-Up

September 11, 2025September 12, 2025JMIR mHealth and uHealth

Background: To bridge the gap between clinical guidelines and suboptimal stroke management in rural settings, we conducted an implementation trial using evidence-based, mobile health–enabled strategies to empower primary care providers in rural China. The…

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AI stethoscope detects three heart conditions in 15 seconds

AI stethoscope detects three heart conditions in 15 seconds

September 3, 2025September 3, 2025Digital Health

An AI-enabled stethoscope has allowed doctors to pick up heart conditions in 15 seconds, giving GPs a simple tool to spot problems earlier.
A study, funded by the National Institute for Health and Care Research…

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Remote Monitoring After Cardiac Surgery Reveals Undetected AFib Events, Study Finds

Remote Monitoring After Cardiac Surgery Reveals Undetected AFib Events, Study Finds

August 21, 2025August 21, 2025HIT Consultant

Jakob Wollborn, M.D., M.P.H., Cardiothoracic Anesthesiologist and Intensivist at Brigham and Women’s Hospital

Atrial fibrillation, or AFib, is one of the most common complications following cardiac surgery. It affects up to 40% of patients, depending…

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Use of Wearable Sensors to Assess Fall Risk in Neurological Disorders: Systematic Review

Use of Wearable Sensors to Assess Fall Risk in Neurological Disorders: Systematic Review

August 18, 2025August 18, 2025JMIR mHealth and uHealth

Background: Assessing fall risk, especially in individuals with neurological disorders, is essential to prevent hospitalization, hypomobility, and reduced functional independence. Wearable sensors are increasingly used in neurorehabilitation, as they enable unsupervised fall risk assessment…

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Health AI Revolutionizes Stroke Treatment Success

Health AI Revolutionizes Stroke Treatment Success

August 13, 2025August 13, 2025DistilINFO Hospital IT

Revolutionary AI Technology Transforms Emergency Care
Detroit-based Henry Ford Health has revolutionized stroke treatment by implementing cutting-edge artificial intelligence technology that dramatically reduces treatment times and saves lives. The healthcare system’s adoption of RapidAI, an…

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East of England partnership enables stroke triage via live video

East of England partnership enables stroke triage via live video

August 12, 2025August 12, 2025Digital Health

A partnership between East of England Ambulance Service NHS Trust (EEAST) and Excelerate Technology has enabled ambulance crews to consult stroke specialists via video in areas without reliable mobile coverage.
Poor signal in rural and…

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iRhythm, Lucem Health Partner to Detect Arrhythmia with Predictive AI

iRhythm, Lucem Health Partner to Detect Arrhythmia with Predictive AI

August 1, 2025August 2, 2025HIT Consultant

What You Should Know: 

– iRhythm Technologies, a digital health leader focused on detecting, predicting, and preventing disease announced a strategic partnership with Lucem Health, an AI-driven early disease detection. 

– The strategic collaboration aims to…

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Evaluation of performance of generative large language models for stroke care

Evaluation of performance of generative large language models for stroke care

July 29, 2025July 29, 2025npj Digital Medicine

Stroke is a leading cause of global morbidity and mortality, disproportionately impacting lower socioeconomic groups. In this study, we evaluated three generative LLMs—GPT, Claude, and Gemini—across four stages of stroke care: prevention, diagnosis, treatment,…

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Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging

Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging

July 15, 2025July 15, 2025npj Digital Medicine

Retinal photography is a valuable non-invasive tool for assessing vascular health, but genetic evidence linking retinal microcirculation to major vascular-related diseases (e.g., myocardial infarction [MI], stroke, and chronic kidney disease [CKD]) remains scarce. This…

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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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