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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: Validation

Curve Biosciences Secures $40M to Launch Whole-Body Intelligence Platform

Curve Biosciences Secures $40M to Launch Whole-Body Intelligence Platform

October 29, 2025October 30, 2025HIT Consultant

What You Should Know: 

– Curve Biosciences, the Whole-Body Intelligence™ company, today announced it has raised $40M in Series A funding led by Luma Group, with participation from First Spark Ventures, Techas Capital, Civilization Ventures,…

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Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations

Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations

October 29, 2025October 30, 2025npj Digital Medicine

Scalable home-based detection of isolated REM sleep behavior disorder (iRBD) is essential for early care, prevention trials, and identifying candidates for neuroprotective interventions against synucleinopathies. We previously showed that high-resolution wrist actigraphy (Axivity AX6)…

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Benchmarking large language models for personalized, biomarker-based health intervention recommendations

Benchmarking large language models for personalized, biomarker-based health intervention recommendations

October 27, 2025October 27, 2025npj Digital Medicine

The use of large language models (LLMs) in clinical diagnostics and intervention planning is expanding, yet their utility for personalized recommendations for longevity interventions remains opaque. We extended the BioChatter framework to benchmark LLMs’…

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Real-time detection of respiratory circuit events in mechanical ventilation using deep learning

Real-time detection of respiratory circuit events in mechanical ventilation using deep learning

October 25, 2025October 25, 2025npj Digital Medicine

Respiratory circuit events, including fluid accumulation and circuit or cuff leakage during mechanical ventilation, increase ventilator-associated event risks but often go undetected. We developed a convolutional neural network analyzing 57,296 annotated breaths (26,768 training/internal…

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Artificial intelligence for autoimmune diseases

Artificial intelligence for autoimmune diseases

October 24, 2025October 25, 2025npj Digital Medicine

Emerging evidence suggests generative artificial intelligence (AI) may offer potential for autoimmune and rheumatic disease care, moving beyond traditional narrow AI applications to produce contextualized clinical content to support a wide spectrum of medical…

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Optum deploys AI for real-time claims processing

Optum deploys AI for real-time claims processing

October 24, 2025October 25, 2025Healthcare IT news

Providers know instantly what’s covered, payers receive more comprehensive claims and patients know their coverage before leaving the doctor’s office, Optum says.Optum has introduced Optum Real, a real-time AI claims system that offers faster…

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External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram

External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram

October 17, 2025October 17, 2025npj Digital Medicine

PreOpNet is a novel deep-learning algorithm using 12-lead digital electrocardiogram (ECG) for preoperative risk assessment of all-cause death and major adverse cardiac events (MACE) within 30 days. Its performance in European high-risk patients undergoing…

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Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification

October 14, 2025October 15, 2025npj Digital Medicine

This study evaluates the CT-based volumetric sarcopenia index (SI) as a baseline prognostic factor for overall survival (OS) in 10,340 solid tumor patients (40% female). Automated body composition analysis was applied to internal baseline…

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Mayo Clinic Platform_Accelerate Unveils New Cohort of AI Health Tech Startups

Mayo Clinic Platform_Accelerate Unveils New Cohort of AI Health Tech Startups

October 14, 2025October 15, 2025HIT Consultant

What You Should Know: 

– Mayo Clinic Platform_Accelerate has announced its latest cohort of health tech startups, featuring national and international businesses poised to transform healthcare. 

– These 11 companies will participate in an immersive, 30-week…

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Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact

Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact

October 13, 2025October 14, 2025npj Digital Medicine

Pancreatic cystic neoplasms (PCN) are critical precursors for early pancreatic cancer detection, yet current diagnostic methods lack accuracy and consistency. This multicenter study developed and validated an artificial intelligence (AI)-powered CT model (PCN-AI) for…

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With respect to healthcare, I see digital transformation as a formula: simplified patient journey + streamlined employee workflow = a memorable experience. The ability to distill the patient touch points down to only what is necessary, make the behind-the-scenes workflow less cumbersome (reducing silos and friction points) and accelerate the entire throughput with carefully selected and complementary technology is the essence of digital transformation. Process is always upstream from technology, and any digital effort should take that into consideration.

Tom Barnett

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

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