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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: review

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records

May 17, 2024May 17, 2024npj Digital Medicine

Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from…

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SmarterDx Rakes In $50M For Its AI That Helps Hospitals Capture More Revenue - MedCity News

SmarterDx Rakes In $50M For Its AI That Helps Hospitals Capture More Revenue – MedCity News

May 15, 2024May 15, 2024MedCity News

SmarterDx closed a $50 million Series B funding round on Tuesday, bringing the startup’s total funding to date to $71 million. The New York-based company is a healthcare AI startup that provides clinical review…

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A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

May 15, 2024May 15, 2024npj Digital Medicine

Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer…

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Senators call for new VA oversight provisions in Oracle contract review

Senators call for new VA oversight provisions in Oracle contract review

May 13, 2024May 14, 2024Healthcare IT news

With the Veterans Affairs electronic health records modernization contract up for its first of four annual renegotiations, senators serving on the VA Committee sent a letter to Tanya Bradsher, VA deputy secretary, pointing out that more mistakes…

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The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis

The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis

May 10, 2024May 10, 2024npj Digital Medicine

Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and machine learning (ML) techniques in PTSD. We…

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Intermountain expands DAX Copilot genAI deployment

Intermountain expands DAX Copilot genAI deployment

May 7, 2024May 8, 2024Healthcare IT news

Salt Lake City-based Intermountain Healthcare is rolling out Microsoft subsidiary Nuance Communications’ Dragon Ambient eXperience Copilot across its seven-state footprint, the health system announced.WHY IT MATTERSThe aim is to leverage DAX’s automation capabilities to…

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Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective

May 6, 2024May 7, 2024JMIR mHealth and uHealth

Background: Motion tracking technologies serve as crucial links between physical activities and health care insights, facilitating data acquisition essential for analyzing and intervening in physical activity. Yet, systematic methodologies for evaluating motion tracking data,…

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Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

May 4, 2024May 4, 2024npj Digital Medicine

Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical practice is essential. Growing numbers of studies using AI for digital pathology have been reported over recent years. The aim of this work…

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Review: Make Passwords a Thing of the Past with Ivanti Zero Sign-On

Review: Make Passwords a Thing of the Past with Ivanti Zero Sign-On

May 4, 2024May 4, 2024HealthTech Magazine

The creation of the first computer password is generally attributed to an MIT professor back in 1961, but the use of words or phrases as a means of access dates back much further in…

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Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review

Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review

May 2, 2024May 2, 2024JMIR mHealth and uHealth

Background: The development of digital applications based on behavioral therapies to support patients with knee osteoarthritis (KOA) has attracted increasing attention in the field of rehabilitation. This paper presents a systematic review of research…

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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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