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 CT study of 494 women in Bogotá found groin hernias in 16.8 percent of scans, far above the classical ...
A prospective two-phase observer-performance study found that a confidence-aware AI system with a radiologist-editable interface improved radiologists' accuracy and agreement ...
A study of 113 cancer patients undergoing CT pulmonary angiography found lung abnormalities were highly prevalent but largely nonspecific, with ...
A multicenter study of six radiologists found that a pre-generated GPT-5 checklist and draft report raised binary escalation accuracy on ...
A new study of 70 gastric cancer patients finds that Zoom-DWI sharply improves tumor boundary visibility but systematically underestimates ADC ...
A new Journal of General Internal Medicine exercise uses a blinded case discussion and an entropy-based framework to expose how ...
A retrospective CEUS study of 87 benign liver necrotic nodules identifies distinctive ultrasound features, including tortuous morphology and thick enhancing ...
A new study of 202 patients shows automated CT body composition measurements remain highly consistent across filtered back projection, iterative, ...
A within-subject study of 36 patients shows that KARL 3D iterative reconstruction reduces lung-window chest CT noise by nearly 35 ...
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© 2025 Scienmag - Science Magazine