Vignette Study Compares AI Models and Physicians in Tuberculosis Clinical Tasks
An exploratory vignette study found that large language models matched physicians in tuberculosis diagnostic accuracy while scoring higher on structured ...
Tag: clinical decision support
Explainable Artificial Intelligence System Predicts Multiple Diabetic Foot Ulcer Outcomes
A multicentre derivation and validation study paired with a prospective randomised trial shows an explainable artificial intelligence ensemble predicts multiple ...
New Explainable AI Framework Models Clinical Reasoning Through Expert Apprenticeship Learning
A new artificial intelligence framework named Explainable Apprenticeship Learning formulates clinical diagnostic reasoning as a hierarchical policy learning problem derived ...
Hierarchical Multi-Agent Reinforcement Learning Improves Sepsis Treatment Recommendation Alignment in ICUs
A hierarchical multi-agent reinforcement learning system combining conservative value estimation with guideline retrieval achieved a 49.9 percent agreement rate with ...
Machine Learning Model Predicts Respiratory Distress Risk in Acute Pancreatitis Patients
A random forest machine learning model achieved strong predictive performance for acute respiratory distress syndrome among critically ill patients with ...
Machine Learning Predicts Gastrointestinal Bleeding Risk After Endovascular Stroke Thrombectomy
A support vector machine model predicted gastrointestinal bleeding within 72 hours after endovascular thrombectomy in a two-center retrospective study of ...
Machine learning model predicts kidney injury in children with sepsis
An explainable XGBoost model using eight routine clinical parameters predicted sepsis-associated acute kidney injury in 3,437 children across five Chinese ...
Serial Biomarkers Optimize Antibiotic Utilization in Hospital-Acquired Pneumonia
A narrative review indicates that procalcitonin and C-reactive protein optimize antibiotic utilization in hospital-acquired pneumonia when interpreted through serial kinetic ...
AI blood glucose predictor built on physiology explains its own forecasts
A new physiology-informed neural network with attributable branches predicts blood glucose in type 1 diabetes while revealing which factors drive ...
AI Learns When It Is Unsure: New Model Flags Borderline Hip Screenings Like Clinicians Do
Oxford researchers built an AI method that estimates uncertainty in landmark-based hip measurements and converts it into a screening confidence ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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