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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: China

Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach

Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach

November 6, 2025November 7, 2025npj Digital Medicine

Cardiovascular diseases remain the leading cause of death in developed countries. This study introduces deep learning ensembles for arrhythmia detection and atrial fibrillation (AF) recurrence prediction from electrocardiogram scans, supported by explainable artificial intelligence…

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Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis

Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis

October 8, 2025October 8, 2025JMIR mHealth and uHealth

Background: Obesity and related disorders are rising globally, especially in China, where they are linked to chronic diseases like diabetes and cardiovascular issues. As intermittent fasting gains popularity for weight management, the use of…

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Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis

Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis

October 2, 2025October 3, 2025npj Digital Medicine

Ophthalmology, an early adopter of medical artificial intelligence (AI), has made significant advancements, but ethical discussions limited. This bibliometric analysis reviewed 498 publications from Web of Science and Scopus (2000–2023) to explore the evolution,…

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Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experiments

Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experiments

September 25, 2025September 25, 2025npj Digital Medicine

The rapid development of AI solutions reveals opportunities to address the underdiagnosis and poor management of chronic conditions in developing settings. Using the method of simulated patients and experimental designs, we evaluate the quality,…

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Centralized Control: China vs. US

Centralized Control: China vs. US

September 15, 2025September 16, 2025BeKey

China has centralized control of their systems in their government so they can flip a switch. And obviously if things get deployed overnight, that's not the US at all.#healthtech #ushealthcare #digitalhealth…

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Economic Evaluation of a Multicomponent mHealth Intervention for Stroke Management in Rural China: Cluster-Randomized Trial With 6-Year Follow-Up

Economic Evaluation of a Multicomponent mHealth Intervention for Stroke Management in Rural China: Cluster-Randomized Trial With 6-Year Follow-Up

September 11, 2025September 12, 2025JMIR mHealth and uHealth

Background: To bridge the gap between clinical guidelines and suboptimal stroke management in rural settings, we conducted an implementation trial using evidence-based, mobile health–enabled strategies to empower primary care providers in rural China. The…

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Mobile App–Assisted Self-Monitoring of Blood Glucose in Type 2 Diabetes in Ningbo, China: 12-Month Retrospective Cohort Study

Mobile App–Assisted Self-Monitoring of Blood Glucose in Type 2 Diabetes in Ningbo, China: 12-Month Retrospective Cohort Study

September 3, 2025September 3, 2025JMIR mHealth and uHealth

Background: Self-monitoring of blood glucose (SMBG) is recommended in clinical practice guidelines, including those in China, as part of patient education, self-management, and empowerment. With technological advancements, telecommunication technologies are now used for telemonitoring…

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Evolutionary game analysis of healthcare data governance in China’s experimental data trading pilots

Evolutionary game analysis of healthcare data governance in China’s experimental data trading pilots

September 1, 2025September 1, 2025npj Digital Medicine

This study constructs a tripartite evolutionary game model involving healthcare data management authorities (DMAs), healthcare data operating departments (DODs), and data-related entities (DEs) within a triple principal-agent framework. We analyze dynamic interactions among these…

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An artificial intelligence cloud platform for OCT-based retinal anomalies screening system in real clinical environments

An artificial intelligence cloud platform for OCT-based retinal anomalies screening system in real clinical environments

August 29, 2025August 30, 2025npj Digital Medicine

Millions of individuals worldwide suffer from retinal anomalies, which can lead to irreversible vision loss. However, the number of ophthalmologists is highly mismatched with the population base in China, especially in many rural and…

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Clarifying Blood Indices in Patients With Ovarian Cancer

Clarifying Blood Indices in Patients With Ovarian Cancer

August 14, 2025August 14, 2025JMIR mHealth and uHealth

The article “Efficacy of a WeChat-Based, Multidisciplinary, Full-Course Nutritional Management Program on the Nutritional Status of Patients With Ovarian Cancer Undergoing Chemotherapy: Randomized Controlled Trial” provided a potential approach to improve the clinical outcomes…

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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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