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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

Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study

Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study

July 6, 2024July 6, 2024npj Digital Medicine

Computer-aided implant surgery has undergone continuous development in recent years. In this study, active and passive systems of dynamic navigation were divided into active dynamic navigation system group and passive dynamic navigation system group…

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Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study

Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study

July 6, 2024July 6, 2024npj Digital Medicine

The main cause of corneal blindness worldwide is keratitis, especially the infectious form caused by bacteria, fungi, viruses, and Acanthamoeba. The key to effective management of infectious keratitis hinges on prompt and precise diagnosis….

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Quantifying impairment and disease severity using AI models trained on healthy subjects

Quantifying impairment and disease severity using AI models trained on healthy subjects

July 6, 2024July 6, 2024npj Digital Medicine

Automatic assessment of impairment and disease severity is a key challenge in data-driven medicine. We propose a framework to address this challenge, which leverages AI models trained exclusively on healthy individuals. The COnfidence-Based chaRacterization…

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A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours

A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours

July 6, 2024July 6, 2024npj Digital Medicine

The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine…

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Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development

Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development

July 2, 2024July 2, 2024npj Digital Medicine

AI-enabled ECGs have previously been shown to accurately predict patient sex in adults and correlate with sex hormone levels. We aimed to test the ability of AI-enabled ECGs to predict sex in the pediatric…

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Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?

Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?

June 29, 2024July 1, 2024npj Digital Medicine

This is a process evaluation of a large UK-based randomised controlled trial (RCT) (n = 5602) evaluating the effectiveness of recommending an alcohol reduction app, Drink Less, compared with usual digital care in reducing alcohol consumption…

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Recommendations to advance digital health equity: a systematic review of qualitative studies

Recommendations to advance digital health equity: a systematic review of qualitative studies

June 29, 2024July 1, 2024npj Digital Medicine

The World Health Organisation advocates Digital Health Technologies (DHTs) for advancing population health, yet concerns about inequitable outcomes persist. Differences in access and use of DHTs across different demographic groups can contribute to inequities….

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Deep learning to quantify care manipulation activities in neonatal intensive care units

Deep learning to quantify care manipulation activities in neonatal intensive care units

June 27, 2024June 28, 2024npj Digital Medicine

Early-life exposure to stress results in significantly increased risk of neurodevelopmental impairments with potential long-term effects into childhood and even adulthood. As a crucial step towards monitoring neonatal stress in neonatal intensive care units…

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A multi-center study on the adaptability of a shared foundation model for electronic health records

A multi-center study on the adaptability of a shared foundation model for electronic health records

June 27, 2024June 27, 2024npj Digital Medicine

Foundation models are transforming artificial intelligence (AI) in healthcare by providing modular components adaptable for various downstream tasks, making AI development more scalable and cost-effective. Foundation models for structured electronic health records (EHR), trained…

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Wearable sensor-based quantitative gait analysis in Parkinson’s disease patients with different motor subtypes

Wearable sensor-based quantitative gait analysis in Parkinson’s disease patients with different motor subtypes

June 26, 2024June 26, 2024npj Digital Medicine

Gait impairments are among the most common and disabling symptoms of Parkinson’s disease and worsen as the disease progresses. Early detection and diagnosis of subtype-specific gait deficits, as well as progression monitoring, can help…

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