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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

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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: study

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

May 13, 2025JMIR mHealth and uHealth

Background: Exercise is a primary recommended treatment for knee osteoarthritis (KOA), as it helps alleviate symptoms and improves joint functionality. Personalized exercise programs, tailored to individual patient needs, have demonstrated promising results in maintaining…

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Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

Wearable Devices in Remote Cardiac Rehabilitation With and Without Weekly Online Coaching for Patients With Coronary Artery Disease: Randomized Controlled Trial

May 13, 2025JMIR mHealth and uHealth

Background: Cardiac rehabilitation (CR) is effective in preventing cardiovascular diseases; however, participation in CR programs remains limited due to the associated challenges. Integration of wearable devices and real-time monitoring offers a potential solution to…

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Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial

Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial

May 11, 2025npj Digital Medicine

Mindfulness and relaxation exercises are effective face-to-face interventions for reducing distress in people with cancer. Their effectiveness in mobile health settings has yet to be investigated. This study evaluated the effectiveness of the CanRelax…

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AI Study Challenges Fears of Racial Bias in Prostate Cancer Care

AI Study Challenges Fears of Racial Bias in Prostate Cancer Care

May 10, 2025HIT Consultant

What You Should Know: 

– Artera, a company developing multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer tests, today announced the publication of a significant validation study in the JCO Clinical Cancer Informatics. 

– The study…

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Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis

Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis

May 9, 2025npj Digital Medicine

Accurate medical decision-making is critical for both patients and clinicians. Patients often struggle to interpret their symptoms, determine their severity, and select the right specialist. Simultaneously, clinicians face challenges in integrating complex patient data…

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An attempt to evaluate the use of mixed reality in surgically treated pediatric oncology patients

An attempt to evaluate the use of mixed reality in surgically treated pediatric oncology patients

May 9, 2025npj Digital Medicine

Mixed reality (MR) technology is increasingly used in surgical procedures, particularly in pediatric oncological surgery. The CarnaLife Holo system (MedApp S.A., Poland) converts medical imaging data into interactive 3D holograms for preoperative planning and…

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Verily receives grant to build major Parkinson's molecular dataset

Verily receives grant to build major Parkinson’s molecular dataset

May 9, 2025MobiHealthNews

Verily, Alphabet’s health data and AI subsidiary, has been awarded a $14.7 million research grant from the Michael J. Fox Foundation (MJFF) for Parkinson’s research to generate a detailed molecular dataset of Parkinson’s disease.The…

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AI Healthcare Documentation Transforms Clinician Experience

AI Healthcare Documentation Transforms Clinician Experience

May 9, 2025DistilINFO Hospital IT

Ambient AI Shows Promise Yet Mixed Results
New research reveals that ambient AI technology significantly reduces clinical documentation time but delivers varying benefits across different clinician demographics and specialties. A recent study published in JAMA…

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AI Shows Promise in Detecting Overlooked Breast Cancers Between Screenings, UCLA Study Reveals

AI Shows Promise in Detecting Overlooked Breast Cancers Between Screenings, UCLA Study Reveals

May 9, 2025HIT Consultant

Source Credit: freepik

What You Should Know: 

– Artificial intelligence (AI) could play a crucial role in identifying breast cancers that develop between routine screening mammograms, potentially detecting them before they become more advanced and challenging…

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Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire

Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire

May 9, 2025JMIR mHealth and uHealth

Background: Cardiovascular diseases (CVD) are the leading cause of death and disability worldwide, and their prevention is a major public health priority. Detecting health issues early and assessing risk levels can significantly improve the…

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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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