Why Expert Disagreement Could Be the Missing Key to Trustworthy Medical AI
Oxford researchers argue that the common practice of reducing expert annotations to single binary masks introduces a hidden source of ...
Oxford researchers argue that the common practice of reducing expert annotations to single binary masks introduces a hidden source of ...
A YOLOv8-based deep learning model identified and measured children's coronary arteries on echocardiograms with expert-level accuracy in under two seconds ...
Researchers in Wuhan developed a two-stage deep learning system that detects and classifies postoperative coughs from audio recordings of lung ...
A new Journal of Medical Systems Comment argues that how clinical AI systems select cases for human review must itself ...
A quantitative analysis of 42 medical AI policies from seven major economies finds strong strategic vision but weak implementation tools, ...
A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...
A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...
A new perspective in the Journal of Medical Systems argues that clinical AI must be continuously monitored, updated, and revalidated ...
A comprehensive review of 69 studies shows that machine learning and deep learning models can diagnose depression from EEG and ...
Researchers have developed a unified scoring method that combines multiple accuracy metrics with model confidence to provide a more clinically ...
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© 2026 Scienmag - Science Magazine