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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: Medicine

Charting a course for the smart hospital of the future

Charting a course for the smart hospital of the future

March 4, 2025May 17, 2025MobiHealthNews

LAS VEGAS – At HIMSS Global Health Conference & Exhibition, Doug Mirsky, vice president of the Digital Medicine Society (DiMe) moderated a panel on, “Building the Future: The Path to Smart Hospitals” at the…

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A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy

A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy

March 3, 2025March 4, 2025npj Digital Medicine

In tumor radiotherapy, monitoring patient body position is crucial for improving efficacy and reducing complications. We developed a contact-based body position monitoring system using pressure sensors and artificial intelligence, enabling non-invasive, radiation-free, real-time monitoring….

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Assessing and alleviating state anxiety in large language models

Assessing and alleviating state anxiety in large language models

March 3, 2025March 4, 2025npj Digital Medicine

The use of Large Language Models (LLMs) in mental health highlights the need to understand their responses to emotional content. Previous research shows that emotion-inducing prompts can elevate “anxiety” in LLMs, affecting behavior and…

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Emergency MD: How CIOs can use IT to prevent clinicians from being inundated with data

Emergency MD: How CIOs can use IT to prevent clinicians from being inundated with data

March 2, 2025March 4, 2025Healthcare IT news

Dr. Hamad Husainy is an emergency medicine physician who works in different emergency departments, and he states very clearly that, more often than not, he is inundated with data – very little of which…

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Developing a named entity framework for thyroid cancer staging and risk level classification using large language models

Developing a named entity framework for thyroid cancer staging and risk level classification using large language models

March 1, 2025March 2, 2025npj Digital Medicine

We developed a named entity (NE) framework for information extraction from semi-structured clinical notes retrieved from The Cancer Genome Atlas—Thyroid Cancer (TCGA-THCA) database and examined Large Language Models (LLMs) strategies to classify the 8th…

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Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

March 1, 2025March 2, 2025npj Digital Medicine

This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…

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Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators

Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators

March 1, 2025March 2, 2025npj Digital Medicine

Deep vein thrombosis (DVT) carries high morbidity, mortality, and costs globally. Point of care ultrasound (POCUS) image acquisition by non-ultrasound-trained providers, supported by an AI-based guidance and remote image review system, is believed to…

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Frederick Health Integrates Precision Oncology Platform with MEDITECH Expanse

Frederick Health Integrates Precision Oncology Platform with MEDITECH Expanse

February 28, 2025March 2, 2025HIT Consultant

What You Should Know:

–  Frederick Health (Frederick, MD) recently launched a first-of-its-kind precision medicine integration that enhances their decision support capabilities with intuitive recommendations that are tailored to the individual patient and their cancer’s specific…

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Tia Teams Up with Nourish to Provide Nutrition Support to Women - MedCity News

Tia Teams Up with Nourish to Provide Nutrition Support to Women – MedCity News

February 28, 2025March 2, 2025MedCity News

Tia, a women’s health company, is partnering with food-as-medicine platform Nourish to offer women food and nutrition support, the companies announced Thursday.

San Francisco-based Tia offers in-person and virtual support for women. Its services include…

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Transfer learning method for prenatal ultrasound diagnosis of biliary atresia

Transfer learning method for prenatal ultrasound diagnosis of biliary atresia

February 28, 2025March 2, 2025npj Digital Medicine

Biliary atresia (BA) is a rare and severe congenital disorder with a significant challenge for prenatal diagnosis. This study, registered at the Chinese Clinical Trial Registry (ChiCTR2200059705), aimed to develop an intelligent model to…

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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

Recent Posts

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    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

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    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

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    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
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    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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    The Safe AI in Medicaid Alliance can help providers hone their tactics

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