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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

Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission

Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission

August 24, 2025August 24, 2025npj Digital Medicine

Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition, and accurate prediction of functional outcomes is critical for optimizing patient management within the initial 3 days of presentation. However, existing clinical scoring systems and imaging…

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CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes

CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes

August 24, 2025August 24, 2025npj Digital Medicine

Large language models (LLMs) have shown promising capabilities across diverse domains, yet their application to complex clinical prediction tasks remains limited. In this study, we present CARE-AD (Collaborative Analysis and Risk Evaluation for Alzheimer’s…

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Hospital Wait Times Cut with Virtual Technology

Hospital Wait Times Cut with Virtual Technology

August 22, 2025August 22, 2025DistilINFO Hospital IT

Introduction to Remote Emergency Care
OSF HealthCare, a leading healthcare system based in Peoria, Illinois, is revolutionizing emergency department care through innovative digital technology implementation. This groundbreaking approach is specifically designed to reduce emergency department…

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Wellth Secures $36M to Expand AI-Powered Behavior Change Platform

Wellth Secures $36M to Expand AI-Powered Behavior Change Platform

August 22, 2025August 22, 2025HIT Consultant

What You Should Know: 

– Wellth, a digital health company specializing in combining daily motivation with behavior change strategies secures $36M in Series C financing led by Mercato Partners, with participation from FCA Venture Partners,…

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Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools

Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools

August 21, 2025August 22, 2025npj Digital Medicine

Early Autism Spectrum Disorder (ASD) identification is crucial but resource-intensive. This study evaluated a novel two-stage multimodal AI framework for scalable ASD screening using data from 1242 children (18–48 months). A mobile application collected…

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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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Real time machine learning prediction of next generation sequencing test results in live clinical settings

Real time machine learning prediction of next generation sequencing test results in live clinical settings

August 19, 2025August 19, 2025npj Digital Medicine

Next-generation sequencing-based tests have advanced the field of medical diagnostics, but their novelty and cost can lead to uncertainty in clinical deployment. The Heme-STAMP is one such assay that tracks mutations in genes implicated…

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Specialized curricula for training vision language models in retinal image analysis

Specialized curricula for training vision language models in retinal image analysis

August 19, 2025August 19, 2025npj Digital Medicine

Clinicians spend significant time reviewing medical images and transcribing findings. By integrating visual and textual data, foundation models have the potential to reduce workloads and boost efficiency, yet their practical clinical value remains uncertain….

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CentralReach Acquires SpectrumAi and AI.Measures to Expand AI-Powered Autism Care

CentralReach Acquires SpectrumAi and AI.Measures to Expand AI-Powered Autism Care

August 18, 2025August 19, 2025HIT Consultant

What You Should Know: 

– CentralReach, a software provider for autism and intellectual and developmental disabilities (IDD) care, has announced the acquisitions of SpectrumAi and AI.Measures. These strategic moves significantly expand CentralReach’s platform to enable…

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AI-assisted tool on FDP will help write hospital discharge letters

AI-assisted tool on FDP will help write hospital discharge letters

August 18, 2025August 18, 2025Digital Health

Peter Kyle, science and technology secretary (Credit: Richard Townshend Photography)

The NHS federated data platform will host a new AI-assisted discharge summaries tool, the government has announced. 
The technology, being developed at Chelsea and Westminster…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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