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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: data

Identifying Parkinson’s disease and its stages using static standing balance

Identifying Parkinson’s disease and its stages using static standing balance

November 30, 2024November 30, 2024npj Digital Medicine

The current assessment of Parkinson’s disease (PD) relies on dynamic motor tasks, limiting accessibility. This study aimed to propose an innovative approach to identifying PD and its stages using static standing balance and machine…

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Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach

November 30, 2024November 30, 2024npj Digital Medicine

People with a history of injecting drug use are a priority for eliminating blood-borne viruses and sexually transmissible infections. Identifying them for disease surveillance in electronic medical records (EMRs) is challenged by sparsity of…

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A machine-learned model for predicting weight loss success using weight change features early in treatment

A machine-learned model for predicting weight loss success using weight change features early in treatment

November 29, 2024November 29, 2024npj Digital Medicine

Stepped-care obesity treatments aim to improve efficiency by early identification of non-responders and adjusting interventions but lack validated models. We trained a random forest classifier to improve the predictive utility of a clinical decision…

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AI tool offers insights to improve safety in maternity care

AI tool offers insights to improve safety in maternity care

November 29, 2024November 29, 2024Digital Health

Researchers at Loughborough University have developed an AI tool designed to enhance safety in maternity care by identifying the human factors that could impact outcomes.
The I-SIRch solution, developed by Professor Georgina Cosma and Professor…

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An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence

An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence

November 29, 2024November 29, 2024npj Digital Medicine

In this work we present OptAB, the first completely data-driven online-updateable antibiotic selection model based on Artificial Intelligence for Sepsis patients accounting for side-effects. OptAB performs an iterative optimal antibiotic selection for real-world Sepsis…

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510(k) for South Korean medical imaging AI and more briefs

510(k) for South Korean medical imaging AI and more briefs

November 29, 2024November 29, 2024MobiHealthNews

South Korean medical imaging AI company Neurophet has received second clearance for its brain image analysis software in the United States.It obtained another 510(k) from the US Food and Drug Administration for the latest…

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Malaffi Events - the 7th GCC e-Healh Workforce Development Conferences

Malaffi Events – the 7th GCC e-Healh Workforce Development Conferences

November 28, 2024November 28, 2024Malaffi

Two fantastic days at the 7th GCC eHealth Workforce Conference in Dubai!We were honored to receive the ZIMAM "Health Data Interoperability Project of the Year 2024" award and share insights on the latest trends…

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Siriraj Piyamaharajkarun Hospital sets up AI-powered pathology service

Siriraj Piyamaharajkarun Hospital sets up AI-powered pathology service

November 28, 2024November 28, 2024Healthcare IT news

Siriraj Piyamaharajkarun Hospital in Thailand has incorporated AI and computational technologies into its recently launched pathology information system.WHAT IT’S ABOUT
The PIS at the 300-bed SiPH, a hospital unit under the Faculty of Medicine of…

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WellRX Acquires Bioreach Lab to Enhance Preventative Healthcare Offerings

WellRX Acquires Bioreach Lab to Enhance Preventative Healthcare Offerings

November 28, 2024November 28, 2024HIT Consultant

What You Should Know: 

– WellRX, the parent company of preventative healthcare brands ReviveRX and Ways2Well, has acquired Bioreach, a cutting-edge bloodwork and genetics laboratory. 

– The strategic acquisition brings advanced diagnostic capabilities in-house, allowing WellRX…

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Senators intro bipartisan bill to bolster healthcare cybersecurity

Senators intro bipartisan bill to bolster healthcare cybersecurity

November 27, 2024November 27, 2024Healthcare IT news

A quartet of U.S. Senators from both sides of the aisle have introduced new legislation aimed at helping healthcare organizations weather the onslaught of ransomware and other cyberattacks.WHY IT MATTERSThe new bill, The Health…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

Daniel Durand

Recent Posts

  • 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, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
  • What impact has healow had on your organization and the patients’ experience?

    What impact has healow had on your organization and the patients’ experience?

    January 31, 2026February 1, 2026Comments Off on What impact has healow had on your organization and the patients’ experience?
  • Weekly Roundup – January 31, 2026

    Weekly Roundup – January 31, 2026

    January 31, 2026February 1, 2026Comments Off on Weekly Roundup – January 31, 2026
  • Embedding clinical intelligence to help close care gaps

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    January 31, 2026January 31, 2026Comments Off on Embedding clinical intelligence to help close care gaps
  • 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, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
  • Meditech founder Neil Pappalardo dies at 83

    Meditech founder Neil Pappalardo dies at 83

    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
  • The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    January 31, 2026January 31, 2026Comments Off on The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment
  • Decagon raises $250M for AI agents, triples valuation to $4.5B

    Decagon raises $250M for AI agents, triples valuation to $4.5B

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    Successful AI adoption requires meaningful change management

    January 30, 2026January 31, 2026Comments Off on Successful AI adoption requires meaningful change management
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    The Safe AI in Medicaid Alliance can help providers hone their tactics

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