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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: Learning

VisiQuate Acquires Etyon, Enhancing AI-Powered Revenue Cycle

VisiQuate Acquires Etyon, Enhancing AI-Powered Revenue Cycle

July 3, 2025July 3, 2025HIT Consultant

What You Should Know: 

– VisiQuate, a leader in AI-powered revenue cycle management (RCM), announced its acquisition of Etyon, a healthcare technology company recognized for its deep RCM machine learning, domain-specific algorithms, and advanced data…

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Surprising Ways AI Is Transforming Care Delivery

Surprising Ways AI Is Transforming Care Delivery

July 2, 2025July 3, 2025HealthTech Magazine

Generative AI Helps Kids Manage Their Diabetes
Diabetes can lead to complications such as amputations, blindness and heart attacks if blood sugar is not managed properly. For young children with type 1 diabetes, a lifelong…

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Predicting quality measure completion among 14 million low-income patients enrolled in medicaid

Predicting quality measure completion among 14 million low-income patients enrolled in medicaid

July 2, 2025July 3, 2025npj Digital Medicine

Low-income populations have disproportionately low completion of recommended healthcare services, from missed vaccinations to cancer screenings. While machine learning models help identify high-risk patients for targeted treatment, they have rarely been evaluated for quality…

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Clinical decision support using pseudo-notes from multiple streams of EHR data

Clinical decision support using pseudo-notes from multiple streams of EHR data

July 2, 2025July 2, 2025npj Digital Medicine

Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision…

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Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation

Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation

July 2, 2025July 2, 2025npj Digital Medicine

Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but its interpretation requires significant expertise and time. Despite generative AI’s enormous potential in medical report generation, automatic FFA interpretation lacks robust…

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Federated target trial emulation using distributed observational data for treatment effect estimation

Federated target trial emulation using distributed observational data for treatment effect estimation

July 2, 2025July 2, 2025npj Digital Medicine

Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. Applying TTE across distributed datasets shows great promise in improving generalizability and power but is always…

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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives

July 1, 2025July 1, 2025npj Digital Medicine

Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) examination is important but time-consuming for visual function evaluation with high requirement of cooperation and reliability of patients. While color…

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HIMSSCast: VR and genAI are driving the golden age of nurse training

HIMSSCast: VR and genAI are driving the golden age of nurse training

June 27, 2025June 30, 2025Healthcare IT news

Sensitive, compassionate and caring students increase their communication and nursing skills while wearing virtual reality glasses, according to those in North Carolina Central University’s nursing program experiencing VR simulations aided by generative artificial intelligence.  While…

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The End of Manual RCM? How AI is Automating Claim Remediation

The End of Manual RCM? How AI is Automating Claim Remediation

June 24, 2025June 25, 2025HIT Consultant

Jai Pillai, COO of Red Sky Health

In the complex and often frustrating world of healthcare billing, claim denials, underpayments, and repeated resubmissions are among the most persistent and costly challenges faced by providers. The…

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A multimodal visual–language foundation model for computational ophthalmology

A multimodal visual–language foundation model for computational ophthalmology

June 21, 2025June 21, 2025npj Digital Medicine

Early detection of eye diseases is vital for preventing vision loss. Existing ophthalmic artificial intelligence models focus on single modalities, overlooking multi-view information and struggling with rare diseases due to long-tail distributions. We propose…

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