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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: study

A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests

A multi-criterion feature integration framework for accurate diagnosis of Sjögren’s disease using routine laboratory tests

November 28, 2025November 28, 2025npj Digital Medicine

Sjögren’s disease (SjD) is a common systemic autoimmune disease that remains difficult to diagnose early due to non-specific symptoms and lack of definitive biomarkers. This multicentre retrospective cohort study analysed data from 34,958 patients…

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Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study

November 27, 2025November 28, 2025JMIR mHealth and uHealth

Background: Many individuals in urban low-income settings face barriers to engaging in primary care. The advancement of mobile health (mHealth) expands options for facilitating communication between primary care providers and clients. Objective: We conducted…

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AI testing platform removes commercial bias for NHS use

AI testing platform removes commercial bias for NHS use

November 27, 2025November 27, 2025Digital Health

Professor Alicja Rudnicka from the School of Health and Medical Sciences at City St Georges, University of London (Credit: Professor Alicja Rudnicka, City St George’s, University of London)

Researchers have developed a testing platform…

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Transdiagnostic Cognitive Control Training for Patients Waiting for Outpatient Psychotherapy: Randomized Clinical Trial

Transdiagnostic Cognitive Control Training for Patients Waiting for Outpatient Psychotherapy: Randomized Clinical Trial

November 27, 2025November 27, 2025JMIR mHealth and uHealth

Background: Various mental disorders are associated with impaired cognitive control, which is crucial for effective emotion regulation. Cognitive control training has demonstrated promise in enhancing emotion regulation and alleviating distress in disorders characterized by…

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Smartphone-Based Approach-Avoidance Bias Modification Training for Depression: Randomized Clinical Trial

Smartphone-Based Approach-Avoidance Bias Modification Training for Depression: Randomized Clinical Trial

November 27, 2025November 27, 2025JMIR mHealth and uHealth

Background: Effective treatments for depression are available, yet many patients do not respond to treatment or experience relapse. Cognitive bias modification aims to ameliorate cognitive biases that contribute to the development and maintenance of…

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Information content as a health system screening tool for rare diseases

Information content as a health system screening tool for rare diseases

November 25, 2025November 26, 2025npj Digital Medicine

Rare diseases (RD) affect 3.5–5.9% of the global population, yet patients often endure a diagnostic odyssey averaging around 5–6 years, navigating multiple specialties and referrals. This study investigates the use of information content (IC)…

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Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study

November 25, 2025November 25, 2025JMIR mHealth and uHealth

Background: The mHealth App was believed as an effective method to support family caregivers to better care for stroke patients. This study aimed to explore the status and the influencing factors of mHealth App…

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Predictive modeling & mechanistic validation of synergistic pimodivir combinations for anti-influenza therapy via PB2cap affinity boost

Predictive modeling & mechanistic validation of synergistic pimodivir combinations for anti-influenza therapy via PB2cap affinity boost

November 21, 2025November 22, 2025npj Digital Medicine

This study introduces a machine learning framework to predict effective antiviral combinations for influenza A. It identifies Pimodivir with Epinephrine or L-Adrenaline as synergistic agents, confirmed by experiments demonstrating increased binding affinity and viral…

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State of Ransomware in Healthcare 2025: Exploited Vulnerabilities Top Cause, Staff Capacity Biggest Weakness

State of Ransomware in Healthcare 2025: Exploited Vulnerabilities Top Cause, Staff Capacity Biggest Weakness

November 21, 2025November 21, 2025HIT Consultant

What You Should Know: 

– Sophos’s State of Ransomware in Healthcare 2025 report reveals exploited vulnerabilities are now the leading technical cause of attacks (33%). 

– The study highlights a sector becoming more resilient to encryption…

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Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study

Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study

November 21, 2025November 21, 2025npj Digital Medicine

Atrial fibrillation (AF) is the most common arrhythmia worldwide and is associated with significant morbidity and mortality. FibriCheck is a medical analysis platform that uses an end-to-end algorithm to detect AF based on photoplethysmography…

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The two areas that are changing… are information technology and medical technology. Those are the things that the world will be very different 20 years from now than it is today.

Bill Gates

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