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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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Category: npj Digital Medicine

The overlooked role of exergames in cognitive-motor neurorehabilitation: a systematic review

The overlooked role of exergames in cognitive-motor neurorehabilitation: a systematic review

July 9, 2025July 9, 2025npj Digital Medicine

Exergames are emerging tools for cognitive-motor neurorehabilitation, but their effects in adults with neurological conditions remain insufficiently explored. This systematic review examined studies from PubMed, Scopus, Embase, and Web of Science, assessing the impact…

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Large language models-enabled digital twins for precision medicine in rare gynecological tumors

Large language models-enabled digital twins for precision medicine in rare gynecological tumors

July 9, 2025July 9, 2025npj Digital Medicine

Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poor prognosis. Molecular tumor boards accelerate access to effective…

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Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

July 9, 2025July 9, 2025npj Digital Medicine

Traditional tuberculosis (TB) screening involves radiologists manually reviewing chest X-rays (CXR), which is time-consuming, error-prone, and limited by workforce shortages. Our AI model, AIRIS-TB (AI Radiology In Screening TB), aims to address these challenges…

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Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis

Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis

July 9, 2025July 10, 2025npj Digital Medicine

Lymph node micro-metastasis represents the initial stage of breast cancer spread or metastasis. However, the limited size of these hidden lesions restricts dataset expansion, presenting a significant challenge for manual examination and conventional deep…

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Effects of intervention design on engagement and outcomes in digital self-help for insomnia – factorial RCT

Effects of intervention design on engagement and outcomes in digital self-help for insomnia – factorial RCT

July 9, 2025July 9, 2025npj Digital Medicine

Digital self-help can improve access to mental health care, but poor engagement limits effectiveness. This single-blind 2 x 2 x 2 factorial randomized controlled trial examined whether an optimized graphical user interface (GUI), automated reminders (AR), and an…

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Digital transformation with clinical alerts and personalized care systems in an integrated value based model

Digital transformation with clinical alerts and personalized care systems in an integrated value based model

July 8, 2025July 8, 2025npj Digital Medicine

Patient portals are widely available to facilitate self-service interactions, including appointment booking, offering convenience to users. Promoting clinically appropriate care pathways, however, is complex; portals must recognize patient intent while striving for an intuitive…

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Framework for bias evaluation in large language models in healthcare settings

Framework for bias evaluation in large language models in healthcare settings

July 7, 2025July 8, 2025npj Digital Medicine

A critical gap in the adoption of large language models for AI-assisted clinical decisions is the lack of a standardized audit framework to evaluate models for accuracy and bias. Our framework introduces a five-step…

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The relation between passively collected data and PTSD: a systematic review and meta-analysis

The relation between passively collected data and PTSD: a systematic review and meta-analysis

July 5, 2025July 6, 2025npj Digital Medicine

Post-traumatic stress disorder (PTSD) is a common mental disorder. This systematic review and meta-analysis examined the association between mobile sensing features and PTSD symptoms. Studies were sourced from the Database for Mobile Sensing Studies…

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Characteristics, licensing, and ethical considerations of openly accessible oral-maxillofacial imaging datasets: a systematic review

Characteristics, licensing, and ethical considerations of openly accessible oral-maxillofacial imaging datasets: a systematic review

July 5, 2025July 5, 2025npj Digital Medicine

Several open-source oral-maxillofacial imaging datasets have been created but their characteristics, ethical clearance, and licensing for reuse remain unclear. This study aimed to systematically identify these datasets and investigate their characteristics, ethical approvals, and…

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A systematic review of machine learning approaches in cochlear implant outcomes

A systematic review of machine learning approaches in cochlear implant outcomes

July 5, 2025July 5, 2025npj Digital Medicine

Cochlear implants (CIs) have transformed the lives of over one million individuals with hearing impairment, including children as young as nine months. This systematic review critically examines the current literature on the application of…

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In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.

Leslie Saxon

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