Hospital Phone Encounters as Upstream Evidence for AI Scribe Evaluation.
Exploring AI Scribe Evaluation through Hospital Phone Encounters 📞🤖: Insights from Sezgin E's 2026 study in J Med Syst.
Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging.
Class imbalance in multi-sensor medical imaging can improve minority class recall by 12-35% through advanced strategies. 📊🩺
On the relationships between apathy, depression and anhedonia.
Exploring Apathy, Depression, and Anhedonia: Key Findings from a Comprehensive Study 🧠📊
Emerging perspectives in cardiovascular medicine.
Emerging trends in cardiovascular care: AI diagnostics, risk stratification, and rare cardiomyopathies. 📈❤️
Evaluating EPR Usability Data and Its Impact on NHS
Evaluating EPR usability data may significantly influence NHS efficiency and patient care. Insights from Thomas Webb highlight potential improvements. 📊🏥
Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.
Machine learning predicts cardiovascular risk in Chinese adults: 22% incidence, AUC 0.829, waist circumference key factor. 📊❤️
Antimicrobial discovery from underexplored environments: unlocking specialized metabolism.
Exploring new antibiotic sources: AI, multi-omics, and ecology combat AMR crisis. 🦠🔬📈
Mandatory Professional Registration for Digital Health Staff in NHS
NHS England mandates digital health staff to register with professional bodies. This aims to enhance standards in digital healthcare. 🏥💻
SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification.
SGA-DT framework enhances healthcare predictions by addressing missing data with adaptive strategies. 📊🤖 Robust, interpretable, and accurate!
FDP Benefits Limited by Central Clarity Issues
FDP benefits are hindered by unclear guidance from central authorities, impacting digital health advancements. 🏥🔍