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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: model

Top U.S. Health Systems Partner with Clasp to Combat Student Debt and Clinical Staffing Shortages

Top U.S. Health Systems Partner with Clasp to Combat Student Debt and Clinical Staffing Shortages

July 11, 2025July 12, 2025HIT Consultant

What You Should Know: 

– Top U.S. health systems are taking bold, employer-led action to combat two converging crises: staggering student debt and critical clinical staffing shortages. Together with Clasp, the first retention-driven recruitment platform,…

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Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

July 11, 2025July 11, 2025npj Digital Medicine

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for…

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GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation

GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation

July 10, 2025July 11, 2025npj Digital Medicine

Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a Group-wise Hybrid Convolution-ViT model within the U-Net framework,…

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How machine learning on real world clinical data improves adverse event recording for endoscopy

How machine learning on real world clinical data improves adverse event recording for endoscopy

July 10, 2025July 10, 2025npj Digital Medicine

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accurate and comprehensive documentation is crucial for enhancing patient safety and optimizing clinical outcomes; however, adverse events remain underreported. This study evaluates a machine…

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Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs

July 9, 2025July 9, 2025npj Digital Medicine

Traditional tuberculosis (TB) screening involves radiologists manually reviewing chest X-rays (CXR), which is time-consuming, error-prone, and limited by workforce shortages. Our AI model, AIRIS-TB (AI Radiology In Screening TB), aims to address these challenges…

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Digital transformation with clinical alerts and personalized care systems in an integrated value based model

Digital transformation with clinical alerts and personalized care systems in an integrated value based model

July 8, 2025July 8, 2025npj Digital Medicine

Patient portals are widely available to facilitate self-service interactions, including appointment booking, offering convenience to users. Promoting clinically appropriate care pathways, however, is complex; portals must recognize patient intent while striving for an intuitive…

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Certara Expands Partnership with Merck to Streamline Drug Development Data Standards

Certara Expands Partnership with Merck to Streamline Drug Development Data Standards

July 8, 2025July 8, 2025HIT Consultant

What You Should Know: 

– Certara, a global leader in model-informed drug development, today announced an expanded collaboration with Merck, known as MSD outside of the United States and Canada. 

– The strategic agreement will see…

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Virtual Nursing Delivers Breakthrough Results Across Hospitals

Virtual Nursing Delivers Breakthrough Results Across Hospitals

July 8, 2025July 8, 2025DistilINFO Hospital IT

Table of Contents

Virtual Care Evolution Overview
Implementation Success Stories
Key Benefits and Outcomes
Overcoming Implementation Challenges
Industry Leader Perspectives
Future of Remote Care Technology
Strategic Recommendations

Virtual Care Evolution Overview
Virtual nursing has continued to expand dramatically since bursting onto the healthcare…

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Framework for bias evaluation in large language models in healthcare settings

Framework for bias evaluation in large language models in healthcare settings

July 7, 2025July 8, 2025npj Digital Medicine

A critical gap in the adoption of large language models for AI-assisted clinical decisions is the lack of a standardized audit framework to evaluate models for accuracy and bias. Our framework introduces a five-step…

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UCLA Health AI Emergency Medical Records

UCLA Health AI Emergency Medical Records

July 7, 2025July 7, 2025DistilINFO Hospital IT

Table of Contents

Introduction
Revolutionary AI Technology
How the System Works
Key Benefits for Healthcare
Research Breakthrough Details
Impact on Emergency Medicine
Future Applications
Conclusion

Introduction
UCLA Health has pioneered a groundbreaking artificial intelligence solution that revolutionizes how electronic medical records (EMR) are processed…

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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

Recent Posts

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    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
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  • Decagon raises $250M for AI agents, triples valuation to $4.5B

    Decagon raises $250M for AI agents, triples valuation to $4.5B

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