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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: Machine Learning

Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching

Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching

July 31, 2025August 1, 2025npj Digital Medicine

Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification has been limited. We developed…

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Arkstone Acquired by ARCHIMED to Accelerate Global Fight Against Antimicrobial Resistance

Arkstone Acquired by ARCHIMED to Accelerate Global Fight Against Antimicrobial Resistance

July 31, 2025July 31, 2025HIT Consultant

What You Should Know: 

– Arkstone, a pioneer in machine learning (ML) and artificial intelligence (AI)-driven infectious disease clinical decision support and antimicrobial stewardship has been acquired by ARCHIMED, a private equity firm specializing in…

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A scoping review of artificial intelligence applications in clinical trial risk assessment

A scoping review of artificial intelligence applications in clinical trial risk assessment

July 30, 2025July 30, 2025npj Digital Medicine

Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),…

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Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

July 30, 2025July 30, 2025npj Digital Medicine

Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements in blood tests often fail to detect tumor growth. We develop a computational framework to reconstruct tumor growth from the PSA integrating physics-based…

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AI Smart Care Home System to improve quality of residential care

AI Smart Care Home System to improve quality of residential care

July 29, 2025July 29, 2025Digital Health

Aston University is providing AI expertise to help develop the smart system (Credit: Aston University)

Aston University has partnered with dementia care provider Lee Mount Healthcare (LMH) to create an AI-powered ‘Smart Care Home’…

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Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

July 27, 2025July 27, 2025npj Digital Medicine

Cognitive impairment is a frequent complication of Parkinson’s disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from…

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The role of face regions in remote photoplethysmography for contactless heart rate monitoring

The role of face regions in remote photoplethysmography for contactless heart rate monitoring

July 26, 2025July 26, 2025npj Digital Medicine

Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spurred the development…

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Predicting outcomes following endovascular aortoiliac revascularization using machine learning

Predicting outcomes following endovascular aortoiliac revascularization using machine learning

July 24, 2025July 24, 2025npj Digital Medicine

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease that carries non-negligible risks. Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day…

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Mount Sinai Implements Spanish AI Healthcare Tool

Mount Sinai Implements Spanish AI Healthcare Tool

July 23, 2025July 23, 2025DistilINFO Hospital IT

What is Epic’s Augmented Response Technology?
Epic’s Augmented Response Technology (ART) is a sophisticated generative AI system designed to transform patient-provider communication through MyChart messaging platforms. The Spanish-language version of this innovative tool represents the…

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Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury

Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury

July 22, 2025July 22, 2025npj Digital Medicine

Routinely collected blood tests can reflect underlying pathophysiological processes. We demonstrate that the dynamics of routinely collected blood tests hold prediction validity in acute Spinal Cord Injury (SCI). Using MIMIC data (n = 2615) for modeling…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

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