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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: prediction

Why Social Capital is the Missing Lever for 2026 Healthcare Efficiency

Why Social Capital is the Missing Lever for 2026 Healthcare Efficiency

January 21, 2026January 22, 2026HIT Consultant

My grim (and not-so-bold) prediction for the year ahead: Cost challenges will dominate leadership meetings throughout the year. My recommendation: Don’t let cost reduction be the only response. Instead, consider how building social capital can help organizations improve…

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Beyond the Sensor: How January AI’s Food Scanner Replaces CGM Friction for GLP-1 Care

Beyond the Sensor: How January AI’s Food Scanner Replaces CGM Friction for GLP-1 Care

January 6, 2026January 7, 2026HIT Consultant

What You Should Know

– January AI has transitioned its science-validated “virtual glucose monitor” technology into a suite of Enterprise APIs, enabling B2B partners to embed AI-powered food recognition and glucose prediction into their own…

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Abbott Debuts GenAI ‘Libre Assist’ to Tackle Mealtime Decision Fatigue

Abbott Debuts GenAI ‘Libre Assist’ to Tackle Mealtime Decision Fatigue

January 5, 2026January 6, 2026HIT Consultant

What You Should Know: 

– Launched at CES 2026, Abbott’s Libre Assist,is a generative AI feature within the Libre app that predicts glucose impact before consumption. 

– Using a color-coded rating (Green/Yellow/Orange), it acts as a…

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Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

January 4, 2026January 6, 2026npj Digital Medicine

Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditions in the intensive care unit (ICU), including recognised rare diseases and low-prevalence conditions in the ICU, remain underserved due to data scarcity…

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Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer

Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer

December 31, 2025December 31, 2025npj Digital Medicine

Integrating complementary surface and cross sectional cues is central to preoperative assessment of colorectal cancer, but technically challenging because endoscopic images and pelvic CT encode anatomy at different scales. Here we present HydraMamba, a…

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Farzad Mostashari's Aledade Helps Doctors Get Paid for Prevention

Farzad Mostashari’s Aledade Helps Doctors Get Paid for Prevention

December 18, 2025December 21, 2025Healthcare IT Today

CMS provides numerous avenues to implement value-based care. Dr. Farzad Mostashari, who was the National Coordinator for Health Information Technology during a critical period of EHR implementations in the U.S., co-founded Aledade 11 years…

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Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

December 17, 2025December 17, 2025npj Digital Medicine

Emergency care systems are challenged by the emergence of an ageing population, requiring tailored inputs facilitated by early care needs assessment. We examined the potential of Machine Learning algorithms to identify in-hospital healthcare contacts…

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A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning

A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning

December 17, 2025December 18, 2025npj Digital Medicine

Modern medicine increasingly relies on multimodal data, ranging from clinical notes to imaging and genomics, to guide diagnosis and treatment. However, integrating these heterogeneous data sources in a principled and interpretable manner remains a…

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Large Quantitative Models with SandboxAQ - Life Sciences Today Podcast Episode 39

Large Quantitative Models with SandboxAQ – Life Sciences Today Podcast Episode 39

December 12, 2025December 13, 2025Healthcare IT Today

We're excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Tiffany Callahan, Lead Architect of Agentic AI Systems at SandboxAQ. As a…

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AI learning for pediatric right ventricular assessment: development and validation across multiple centers

AI learning for pediatric right ventricular assessment: development and validation across multiple centers

December 9, 2025December 9, 2025npj Digital Medicine

Congenital and acquired heart disease affects approximately 1% of children worldwide, and right ventricular (RV) dysfunction is a common and complex manifestation in conditions such as congenital heart disease, pulmonary hypertension, and prematurity. Accurate…

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In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.

Leslie Saxon

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