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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: framework

Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction

Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction

November 18, 2025November 19, 2025npj Digital Medicine

Kidney transplantation offers life-extending treatment for patients with end-stage renal disease, yet long-term risks of graft loss and death persist. Traditional prediction models using only baseline data often fail to capture patients’ evolving health…

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A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

November 17, 2025November 18, 2025npj Digital Medicine

Psychosocial risk factors and social determinants of health (SDOH) contribute to persistent disparities in liver transplantation access. We developed a large language model framework to extract and analyze how these factors influence care trajectories….

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GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma

GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma

November 14, 2025November 15, 2025npj Digital Medicine

Adult diffuse gliomas are clinically and molecularly heterogeneous, complicating risk stratification and personalized management. We introduce GlioSurv, a multimodal transformer model based on an accelerated failure time framework to integrate multiparametric MRI, clinical and…

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Leading AI ethics and policy speakers confirmed for Rewired 2026

Leading AI ethics and policy speakers confirmed for Rewired 2026

November 13, 2025November 13, 2025Digital Health

Three of UK healthcare’s most influential voices will speak at Digital Health Rewired 2026 to provide guidance on how to harness AI safely, ethically and effectively.
Professor Alastair Denniston, professor of regulatory science and innovation…

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Effects of a Transtheoretical Model–Based mHealth Intervention on Transition Readiness in Adolescents With Epilepsy: Quasi-Experimental Study

Effects of a Transtheoretical Model–Based mHealth Intervention on Transition Readiness in Adolescents With Epilepsy: Quasi-Experimental Study

November 11, 2025November 11, 2025JMIR mHealth and uHealth

Background: Enhancing self-management and transition readiness in adolescents with epilepsy is essential for successful transition to adult care. The combination of the transtheoretical model (TTM) and mobile health (mHealth) management provides a framework for…

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CHIME Recognizes 18 Hospitals Digital Excellence 2025

CHIME Recognizes 18 Hospitals Digital Excellence 2025

November 10, 2025November 10, 2025DistilINFO Hospital IT

Introduction to CHIME’s Digital Health Recognition
The College of Healthcare Information Management Executives has unveiled its prestigious 2025 Digital Health Most Wired survey results, recognizing 18 exceptional hospitals and health systems with the coveted Level…

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Digital transformation central to new ICB commissioning framework

Digital transformation central to new ICB commissioning framework

November 10, 2025November 10, 2025Digital Health

Digital transformation and data-driven intelligence have been positioned as central to how integrated care boards (ICBs) plan, buy, and monitor services, in new commissioning guidelines.
The Strategic Commissioning Framework, published on 6 November 2025, says…

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A generalizable 3D framework and model for self-supervised learning in medical imaging

A generalizable 3D framework and model for self-supervised learning in medical imaging

November 7, 2025November 7, 2025npj Digital Medicine

Current self-supervised learning (SSL) methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets, limiting their generalizability and scalability. We present 3DINO, a cutting-edge SSL method adapted to 3D…

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Cluster-Based Predictive Modeling of User Ratings for Physical Activity Apps Using Mobile App Rating Scale (MARS) Dimensions: Model Development and Validation

Cluster-Based Predictive Modeling of User Ratings for Physical Activity Apps Using Mobile App Rating Scale (MARS) Dimensions: Model Development and Validation

November 7, 2025November 7, 2025JMIR mHealth and uHealth

Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…

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A Bayesian-driven approach to identify racial inequities in longitudinal care delivery

A Bayesian-driven approach to identify racial inequities in longitudinal care delivery

November 6, 2025November 7, 2025npj Digital Medicine

Measures of healthcare quality and equity often overlook when care is delivered, potentially masking important disparities. We present a novel, time-aware approach to detect racial inequities in hospice use among 100,480 Medicare beneficiaries with…

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Developments in medical technology have long been confined to procedural or pharmaceutical advances, while neglecting a most basic and essential component of medicine: patient information management.

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