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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: prediction

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

October 19, 2024October 19, 2024npj Digital Medicine

Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much…

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Digital Health Readiness: Making Digital Health Care More Inclusive

Digital Health Readiness: Making Digital Health Care More Inclusive

October 9, 2024October 10, 2024JMIR mHealth and uHealth

This paper proposes an approach to assess digital health readiness in clinical settings to understand how prepared, experienced, and equipped individual people are to participate in digital health activities. Existing digital health literacy and…

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Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework

Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework

October 4, 2024October 5, 2024npj Digital Medicine

Environmental factors amplified by climate change contribute significantly to the global burden of disease, disproportionately impacting vulnerable populations, such as individuals with rare diseases. Researchers require innovative, dynamic data linkage methods to enable the…

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Sheba Medical, Mana.bio to Advance AI-Driven RNA Delivery

Sheba Medical, Mana.bio to Advance AI-Driven RNA Delivery

October 1, 2024October 1, 2024HIT Consultant

What You Should Know: 

– Sheba Medical Center, a leading Israeli hospital renowned for its medical innovation, and its innovation arm, ARC Innovation, have announced a collaborative research agreement with Mana.bio. 

– The partnership aims to…

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Zero shot health trajectory prediction using transformer

Zero shot health trajectory prediction using transformer

September 19, 2024September 19, 2024npj Digital Medicine

Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application of the transformer deep-learning…

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NHS warned on rollout of AI-powered genomic health prediction

NHS warned on rollout of AI-powered genomic health prediction

September 11, 2024September 11, 2024Digital Health

The mass rollout of AI-powered genomic health prediction (AIGHP) could pose significant risks concerning privacy and discrimination, a report by the Ada Lovelace Institute and the Nuffield Council on Bioethics (NCOB) has warned. 
AIGHP refers…

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Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation

Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation

September 5, 2024September 5, 2024npj Digital Medicine

The application of artificial intelligence (AI) algorithms to 12-lead electrocardiogram (ECG) provides promising age prediction models. We explored whether the gap between the pre-procedural AI-ECG age and chronological age can predict atrial fibrillation (AF)…

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Digital twins in dermatology, current status, and the road ahead

Digital twins in dermatology, current status, and the road ahead

August 27, 2024August 27, 2024npj Digital Medicine

Digital twins, innovative virtual models synthesizing real-time biological, environmental, and lifestyle data, herald a new era in personalized medicine, particularly dermatology. These models, integrating medical-purpose Internet of Things (IoT) devices, deep and digital phenotyping,…

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Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

August 24, 2024August 24, 2024npj Digital Medicine

Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and colitis. It is recognized as one of the most significant hospital-acquired infections. Although CDI can develop severe complications and spores of Clostridioides…

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Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

August 22, 2024August 22, 2024npj Digital Medicine

Parkinson’s disease (PD) is a multifactorial neurodegenerative disorder with high prevalence among the elderly, primarily manifested by progressive decline in motor function. The aging global demographic and increased life expectancy have led to a…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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