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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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Category: npj Digital Medicine

Digital technologies for climate-related health education, behavior and risk reduction: a systematic scoping review

Digital technologies for climate-related health education, behavior and risk reduction: a systematic scoping review

August 2, 2025August 2, 2025npj Digital Medicine

Digital technologies improve health outcomes, access to education and health care. However, their application in the context of climate change is limited. This scoping review aimed to identify the use of digital technologies for…

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Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization

Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization

August 2, 2025August 2, 2025npj Digital Medicine

The evolution of surgical techniques aims to augment surgeons’ capabilities through digital guidance and robotization for higher precision and consistency. Currently, surgeries heavily rely on surgeon’s experience and visual judgment, causing operation variations. Artificial…

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Digital health governance in China by a whole-of-society approach

Digital health governance in China by a whole-of-society approach

August 2, 2025August 2, 2025npj Digital Medicine

In this study, we review the application of digital technologies for health in China, examining the structure of its digital health governance. China’s digital health governance is of political commitment, cross-sectoral collaboration, and a…

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Digital twins and Big AI: the future of truly individualised healthcare

Digital twins and Big AI: the future of truly individualised healthcare

August 1, 2025August 1, 2025npj Digital Medicine

The integration of physics-based digital twins with data-driven artificial intelligence—termed “Big AI”—can advance truly personalised medicine. While digital twins offer individual ‘healthcasts,’ accuracy and interpretability, and AI delivers speed and flexibility, each has limitations….

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Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies

Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies

August 1, 2025August 1, 2025npj Digital Medicine

In (immune)oncology, virtual twins (VTs) offer patient-individual decision support. Nevertheless, current VTs do not incorporate the unique properties of engineered adoptive cellular immunotherapies (eACIs). Here, we outline the minimal design specifications for VTs for…

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Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases

Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases

August 1, 2025August 1, 2025npj Digital Medicine

Engaging patients in the digital collection of electronic patient-reported outcome measures (ePROMs) and experience measures (ePREMs) is desirable for equitable, patient-centred chronic disease management; however, adherence remain unclear. This study examined demographic and socioeconomic…

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Keyword-based AI assistance in the generation of radiology reports: A pilot study

Keyword-based AI assistance in the generation of radiology reports: A pilot study

August 1, 2025August 1, 2025npj Digital Medicine

Radiology reporting is a time-intensive process, and artificial intelligence (AI) shows potential for textual processing in radiology reporting. In this study, we proposed a keyword-based AI-assisted radiology reporting paradigm and evaluated its potential for…

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A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and large-scale real-world studies

A scalable mental health intervention for depressive symptoms: evidence from a randomized controlled trial and large-scale real-world studies

August 1, 2025August 1, 2025npj Digital Medicine

Depressive symptoms pose a serious global threat to well-being, highlighting the need for scalable mental health interventions. E-mental health interventions offer promising population-level solutions, yet few are grounded in theory or tested on large…

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Healthcare effects and evidence robustness of reimbursable digital health applications in Germany: a systematic review

Healthcare effects and evidence robustness of reimbursable digital health applications in Germany: a systematic review

August 1, 2025August 2, 2025npj Digital Medicine

In Germany, statutory health insurance reimburses digital health applications (DiGAs) approved by the Federal Institute for Drugs and Medical Devices (BfArM). Permanent approval requires evidence of positive healthcare effects, either medical benefits or patient-relevant…

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Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding

Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding

August 1, 2025August 1, 2025npj Digital Medicine

Acute gastrointestinal bleeding (AGIB) is a potentially lethal complication in cirrhosis. In this prospective international multi-center study, the performance of CAGIB score for predicting the risk of in-hospital death in 2467 cirrhotic patients with…

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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.

D. Geoffrey Vince

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