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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: Digital medicine

A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth

A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth

May 4, 2024May 4, 2024npj Digital Medicine

Alcohol consumption is associated with a wide variety of preventable health complications and is a major risk factor for all-cause mortality in the age group 15-47 years. To reduce dangerous drinking behavior, eHealth applications…

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FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer

FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer

May 4, 2024May 4, 2024npj Digital Medicine

Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA interpretation, but these…

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Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence

May 3, 2024May 3, 2024npj Digital Medicine

Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited….

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Robust language-based mental health assessments in time and space through social media

Robust language-based mental health assessments in time and space through social media

May 3, 2024May 3, 2024npj Digital Medicine

In the most comprehensive population surveys, mental health is only broadly captured through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” Further, population mental health estimates are predominantly consolidated to yearly estimates…

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A critical assessment of using ChatGPT for extracting structured data from clinical notes

A critical assessment of using ChatGPT for extracting structured data from clinical notes

May 1, 2024May 1, 2024npj Digital Medicine

Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT’s capacity to extract information from free-text medical…

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Video clips for patient comprehension of atrial fibrillation and deep vein thrombosis in emergency care. A randomised clinical trial

Video clips for patient comprehension of atrial fibrillation and deep vein thrombosis in emergency care. A randomised clinical trial

April 30, 2024May 1, 2024npj Digital Medicine

Integrating video clips in the discharge process may enhance patients’ understanding and awareness of their condition. To determine the effect of video clip-integrated discharge discussion on patient comprehension of atrial fibrillation (AF) and deep…

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RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis

RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis

April 30, 2024May 1, 2024npj Digital Medicine

Visual impairments and blindness are major public health concerns globally. Effective eye disease screening aided by artificial intelligence (AI) is a promising countermeasure, although it is challenged by practical constraints such as poor image…

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Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial

Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial

April 29, 2024April 29, 2024npj Digital Medicine

Loneliness poses a formidable global health challenge in our volatile, post-pandemic world. Prior studies have identified promising interventions to alleviate loneliness, however, little is known about their effectiveness. This study measured the effectiveness of…

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Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial

Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial

April 27, 2024April 28, 2024npj Digital Medicine

We evaluated the effectiveness of a mobile health (mHealth) intervention for diabetic kidney disease patients by conducting a 12-month randomized controlled trial among 126 type 2 diabetes mellitus patients with moderately increased albuminuria (urinary…

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Levels of autonomy in FDA-cleared surgical robots: a systematic review

Levels of autonomy in FDA-cleared surgical robots: a systematic review

April 26, 2024April 26, 2024npj Digital Medicine

The integration of robotics in surgery has increased over the past decade, and advances in the autonomous capabilities of surgical robots have paralleled that of assistive and industrial robots. However, classification and regulatory frameworks…

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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

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