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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: mortality

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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Diana Health Secures $55M to Expand Women’s Health Programs

Diana Health Secures $55M to Expand Women’s Health Programs

September 11, 2025September 12, 2025HIT Consultant

What You Should Know: 

– Diana Health, a company that partners with hospitals to create innovative women’s health programs secures $55M in Series C funding round led by HealthQuest Capital.

– The funding, which also included…

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Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer

Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer

September 2, 2025September 2, 2025npj Digital Medicine

Breast cancer is a leading cause of cancer-related mortality, with tumor heterogeneity and drug resistance posing significant challenges to treatment. We integrated single-cell RNA sequencing, spatial transcriptomics, and bulk RNA-seq deconvolution to analyze BRCA…

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AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery

AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery

August 27, 2025August 27, 2025npj Digital Medicine

Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality and hospital stays. Planned admissions to ITU following surgery are safer than unplanned ones. However, post-operative care decisions remain subjective. This study used…

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Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis

Impact of Smartphone Apps on Reperfusion Times and Clinical Outcomes in Acute ST-Segment Elevation Myocardial Infarction: Systematic Review and Meta-Analysis

August 26, 2025August 26, 2025JMIR mHealth and uHealth

Background: Smartphone and tablet-based applications have been increasingly utilized in the management of acute STEMI, with the goal of enhancing care efficiency. These applications facilitate improved team coordination through a single platform, enabling secure…

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Digital twins for noninvasively measuring predictive markers of right heart failure

Digital twins for noninvasively measuring predictive markers of right heart failure

August 25, 2025August 25, 2025npj Digital Medicine

Digital twins offer a promising approach to advancing healthcare by providing precise, noninvasive monitoring and early detection of diseases. In heart failure (HF), a leading cause of mortality worldwide, they can improve patient monitoring…

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A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction

August 20, 2025August 21, 2025npj Digital Medicine

Preterm birth (PTB) significantly contributes to maternal and perinatal mortality and lifelong morbidity. While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using…

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Maternal Health Expert Leads Brooklyn Hospital

Maternal Health Expert Leads Brooklyn Hospital

August 19, 2025August 19, 2025DistilINFO Hospital IT

Dr. Wilcox’s New Leadership Role
Dr. Wendy Wilcox, a nationally recognized maternal mortality expert, has been appointed as chief of obstetrics and gynecology at NYC Health + Hospitals/Woodhull in Brooklyn, New York. This strategic appointment…

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Beyond Step Counts: How AI-Powered Gait Analysis is Unlocking a New Vital Sign in Healthcare

Beyond Step Counts: How AI-Powered Gait Analysis is Unlocking a New Vital Sign in Healthcare

August 19, 2025August 19, 2025HIT Consultant

Yuval Naveh, Co-Founder and Chief Scientific Officer of OneStep

Gait—how we walk—provides powerful, often overlooked insights into our physical, cognitive, mental, and social health. It’s more than just movement; it serves as a window into…

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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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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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