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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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Author: npj Digital Medicine

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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Promoting xenomorphic patient-facing AIs: The case against anthropomorphism in medical AIs

Promoting xenomorphic patient-facing AIs: The case against anthropomorphism in medical AIs

November 17, 2025November 18, 2025npj Digital Medicine

The rapid emergence of patient-facing medical artificial intelligence (MAI) raises pressing questions about its design and impact on healthcare. Current anthropomorphic design strategies, which endow AIs with human-like features, are based on a reductivist…

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The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance

The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance

November 15, 2025November 15, 2025npj Digital Medicine

Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a…

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STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images

STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images

November 14, 2025November 15, 2025npj Digital Medicine

Spatial transcriptomics (ST) offers insights into gene expression patterns and their spatial context within the tumor microenvironment, but remains limited by the scalability of current sequencing technologies. Existing approaches infer ST from whole-slide images…

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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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From retina to brain: how deep learning closes the gap in silent stroke screening

From retina to brain: how deep learning closes the gap in silent stroke screening

November 14, 2025November 14, 2025npj Digital Medicine

Silent brain infarctions (SBIs), affecting 20% of adults and increasing stroke risk, evade routine MRI screening. While retinal scans offer a “window to the brain,” prior AI failed to simultaneously detect SBIs and predict…

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Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study

Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study

November 14, 2025November 14, 2025npj Digital Medicine

Little is known about the prognostic value of continuous, out-of-clinic biometric monitoring of cardiovascular function in chronic kidney disease (CKD). In this study, a mean (±SD) of 50.3 ± 9.3 h of EKG recordings from wearable BioPatch…

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Development of a LASSO dynamic prediction system for interbody cage subsidence following OLIF surgery

Development of a LASSO dynamic prediction system for interbody cage subsidence following OLIF surgery

November 13, 2025November 14, 2025npj Digital Medicine

Cage subsidence after oblique lumbar interbody fusion (OLIF) frequently causes poor outcomes, yet existing predictive models lack accuracy and applicability. This study leveraged the Least Absolute Shrinkage and Selection Operator (LASSO) regression to efficiently…

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Changes in emergency and primary care use after adding virtual physicians to HealthLink BC’s 8-1-1 program

Changes in emergency and primary care use after adding virtual physicians to HealthLink BC’s 8-1-1 program

November 13, 2025November 14, 2025npj Digital Medicine

Health human resource constraints in Canada have left millions of patients without timely access to primary care (PC), leading many to attend emergency departments (ED) to see a doctor. We evaluated changes in service…

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AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model

AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model

November 13, 2025November 14, 2025npj Digital Medicine

Potentially malignant oral lesions are visible mucosal changes with risk of progressing to squamous cell carcinoma. These lesions are currently graded as no, mild, moderate, or severe dysplasia per WHO guidelines. While widely used,…

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The most evolutionary change coming to hospital rooms of the future is that they will be in your own home. For certain acute conditions, the hospital room will come to you. You will be able to convalesce in the comfort of your own home by using portable technology and next-generation healthcare equipment. This will allow for high quality care to be rendered in a person's home by medical professionals both onsite and virtually.

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