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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: Medicine

Patient agency and large language models in worldwide encoding of equity

Patient agency and large language models in worldwide encoding of equity

May 8, 2025npj Digital Medicine

Large language models progressively result in improved ways of patient engagement and access to healthcare, reaching both an exciting and concerning time, as they no longer serve solely as a guide to clinicians, but,…

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Weakly supervised language models for automated extraction of critical findings from radiology reports

Weakly supervised language models for automated extraction of critical findings from radiology reports

May 8, 2025npj Digital Medicine

Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…

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Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage

Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage

May 7, 2025npj Digital Medicine

Pulmonary vein isolation (PVI), the standard-of-care for atrial fibrillation (AF), is effective even in some persistent AF (PsAF) patients despite atrial fibrosis proliferation, suggesting that PVI could not only be isolating triggers but diminishing…

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Artificial Neural Networks Transform Modern Healthcare

Artificial Neural Networks Transform Modern Healthcare

May 7, 2025DistilINFO Hospital IT

How ANNs Are Revolutionizing Medicine
Artificial Neural Networks (ANNs) have been quietly evolving since the 1950s, but their impact on healthcare has accelerated dramatically in recent years. Unlike modern Large Language Models (LLMs) like ChatGPT,…

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High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis

High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis

May 7, 2025npj Digital Medicine

This study proposes a semi-weakly supervised learning approach for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA) to alleviate the resource-intensive burden of exhaustive medical image annotation. Attention-based CNN-RNN models were trained on…

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Acceptability and feasibility of research grade wearables for monitoring heat stress in Kenyan farmers

Acceptability and feasibility of research grade wearables for monitoring heat stress in Kenyan farmers

May 7, 2025npj Digital Medicine

Sub-Saharan Africa faces increasing heat events due to climate change, affecting health and productivity. Wearable technology, though promising for monitoring these impacts, is underexplored in this region. This pilot study evaluated the acceptability and…

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Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology

Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology

May 7, 2025npj Digital Medicine

Most automated insulin delivery (AID) algorithms do not adapt to the changing physiology of their users, and none provide interactive means for user adaptation to the actions of AID. This randomised clinical trial tested…

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Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

May 6, 2025npj Digital Medicine

There is a growing recognition of the need for clinical trials to safely and effectively deploy artificial intelligence (AI) in clinical settings. We introduce dynamic deployment as a framework for AI clinical trials tailored…

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Rapid development of a registry to accelerate COVID-19 vaccine clinical trials

Rapid development of a registry to accelerate COVID-19 vaccine clinical trials

May 6, 2025npj Digital Medicine

Response to the SARS-Cov-2 pandemic required the unprecedented, rapid activation of the COVID-19 Prevention Network (CoVPN) representing hundreds of sites conducting vaccine clinical trials. The CoVPN Volunteer Screening Registry (VSR) collected participant information, distributed…

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AI-driven heart scans speed up diagnosis and save millions

AI-driven heart scans speed up diagnosis and save millions

May 6, 2025Digital Health

AI-driven heart scans which cut the need for invasive tests have saved millions of pounds, according to an analysis.
The Heartflow technology, which has been rolled out across 56 hospitals in England since 2021,…

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It all comes back to helping patients. That's the reason why we have an innovations office. We have some of the best physicians, scientists and engineers in the world right here in Cleveland who come up with brilliant ideas every day. And we need a way of bringing these to the market to help patients today and in the future. We want to reduce healthcare costs if we can come up with a less expensive way of doing something. We need to innovate around what we traditionally do but then also look at new avenues that we can explore to impact patient care.

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