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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: applications

Efficacy of Mobile App–Based Dietary Interventions Among Cancer Survivors: Systematic Review and Meta-Analysis

Efficacy of Mobile App–Based Dietary Interventions Among Cancer Survivors: Systematic Review and Meta-Analysis

July 31, 2025August 1, 2025JMIR mHealth and uHealth

Background: The World Health Organization recommends that cancer survivors maintain a healthy diet and weight control to prevent cancer recurrence. Albeit a growing interest in using mobile applications (apps) for health promotion, there is…

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In Drug Diversion Prevention Programs, AI is No Longer a Novelty

In Drug Diversion Prevention Programs, AI is No Longer a Novelty

July 31, 2025July 31, 2025HIT Consultant

Karen Kobelski, VP and General Manager of Clinical Surveillance Compliance & Data Solutions, Wolters Kluwer Health

Alex Rodriguez, MHIIM, CPhT, Lead Compliance Data Analyst at St. Jude Children’s Research Hospital

With AI dominating healthcare headlines, it’s easy…

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A scoping review of artificial intelligence applications in clinical trial risk assessment

A scoping review of artificial intelligence applications in clinical trial risk assessment

July 30, 2025July 30, 2025npj Digital Medicine

Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),…

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Healthcare Revolution Trump Unleashes Ultimate AI

Healthcare Revolution Trump Unleashes Ultimate AI

July 29, 2025July 29, 2025DistilINFO Hospital IT

Introduction to the AI Action Plan
The Trump administration unveiled its comprehensive AI Action Plan on July 23, 2025, titled “Winning the Race.” This groundbreaking initiative represents a significant shift toward AI deregulation in healthcare,…

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The role of face regions in remote photoplethysmography for contactless heart rate monitoring

The role of face regions in remote photoplethysmography for contactless heart rate monitoring

July 26, 2025July 26, 2025npj Digital Medicine

Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spurred the development…

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Data Risk Management Best Practices for Healthcare

Data Risk Management Best Practices for Healthcare

July 22, 2025July 23, 2025HealthTech Magazine

Best Practices for Managing Data Risk in HealthcareAdam Winston, WatchGuard field CTO, says policies that govern the use of AI applications need to be implemented internally within organizations.
“General-purpose tools employed by end users should…

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Readers Write: The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application Rationalization

Readers Write: The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application Rationalization

July 21, 2025July 21, 2025HIStalk

The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application RationalizationBy Amy Penning
Amy Penning is senior application analyst at CereCore.

Rationalize your applications, they say. It will lead to cost savings, streamline…

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Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

July 19, 2025July 19, 2025npj Digital Medicine

Artificial intelligence applications in liver pathology remain limited, with existing tools either narrowly focused or lacking external validation. This study introduces HOTSPoT, an open-source, validated transformer-based model for automated segmentation of portal tracts in…

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Healthcare AI News 7/16/25

Healthcare AI News 7/16/25

July 17, 2025July 17, 2025HIStalk

News

AdventHealth Shawnee Mission sues Blue Cross Blue Shield of Kansas City, accusing the insurer of withholding $2 million in payments by using Apixio AI chart review technology, now known as Datavant Machinify, to flag…

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A perspective for adapting generalist AI to specialized medical AI applications and their challenges

A perspective for adapting generalist AI to specialized medical AI applications and their challenges

July 11, 2025July 11, 2025npj Digital Medicine

We introduce a framework to adapt large language models for medicine: (1) Modeling: breaking down medical workflows into manageable steps; (2) Optimization: optimizing model performance via advanced adaptations; and (3) System engineering: developing agent…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

Recent Posts

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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  • The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

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