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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: Machine Learning

Improving medical machine learning models with generative balancing for equity and excellence

Improving medical machine learning models with generative balancing for equity and excellence

February 14, 2025February 15, 2025npj Digital Medicine

Applying machine learning to clinical outcome prediction is challenging due to imbalanced datasets and sensitive tasks that contain rare yet critical outcomes and where equitable treatment across diverse patient groups is essential. Despite attempts,…

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Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters

Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters

February 14, 2025February 14, 2025npj Digital Medicine

Musculoskeletal complaints account for 30% of GP consultations, with many referred to rheumatology clinics via letters. This study developed a Machine Learning (ML) pipeline to prioritize referrals by identifying rheumatoid arthritis (RA), osteoarthritis, fibromyalgia,…

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Proposed legislation paves the way for AI to prescribe drugs

Proposed legislation paves the way for AI to prescribe drugs

February 14, 2025February 14, 2025MobiHealthNews

Proposed legislation introduced in the U.S. House of Representatives will allow AI and machine learning technology to prescribe drugs approved by the FDA autonomously. The bill, H.R.238, introduced on Jan. 7, would require amending the…

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Establishment of a machine learning model for predicting splenic hilar lymph node metastasis

Establishment of a machine learning model for predicting splenic hilar lymph node metastasis

February 11, 2025February 11, 2025npj Digital Medicine

Upper gastrointestinal cancer (UGC) sometimes metastasizes to the splenic hilum lymph node (SHLN). However, surgical removal of SHLN is technically difficult, and the risk of postoperative complications is high. Although there are models that…

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Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance

Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance

February 9, 2025February 9, 2025npj Digital Medicine

This study examines the relationship between self-reported and physiologically measured sleep quality and their impact on neurocognitive performance in individuals with depression. Using data from 249 participants with medium to severe depression monitored over…

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Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection

Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection

February 6, 2025February 6, 2025npj Digital Medicine

Antimicrobial resistance is a rising global health threat, leading to ineffective treatments, increased mortality and rising healthcare costs. In ICUs, inappropriate empiric antibiotic therapy is often given due to treatment urgency, causing poor outcomes….

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CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software

CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software

February 6, 2025February 6, 2025npj Digital Medicine

The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. Its domains are summarised as valid clinical association, technical performance,…

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Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction

Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction

February 3, 2025February 4, 2025npj Digital Medicine

This study demonstrates the potential of multimodal large language models in calculating safety indicators and predicting contraindications for laser vision correction. ChatGPT-4 effectively analyzed ocular data, calculated key indicators, generated calculator codes, and outperformed…

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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation

AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation

February 2, 2025February 3, 2025npj Digital Medicine

Endovascular treatment (EVT) for vertebrobasilar artery occlusion (VBAO) with atrial fibrillation presents complex clinical challenges. This comprehensive multicenter study of 525 patients across 15 Chinese provinces investigated nuanced predictors beyond conventional metrics. While 45.1%…

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Cognizant, Gilead Sciences extend partnership for genAI

Cognizant, Gilead Sciences extend partnership for genAI

February 1, 2025February 1, 2025MobiHealthNews

Cognizant, an IT consulting firm, announced it is expanding its existing relationship with biopharmaceutical company Gilead Sciences to deliver better cost leadership and productivity enhancement for Gilead, while extracting greater value from the existing…

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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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  • 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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    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
  • Meditech founder Neil Pappalardo dies at 83

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    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
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  • Decagon raises $250M for AI agents, triples valuation to $4.5B

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