Ensemble models enhance CT classification accuracy of sacral tumors, suggesting improved diagnosis for radiologists.
First artificial intelligence-radiologist ensemble for noncontrast computed tomography (NCCT)-based sacral tumor classification. Boosts all radiologists' performance, with the greatest gains for juniors, potentially reducing referrals. Enables reliable NCCT diagnosis, overcoming contrast/magnetic resonance imaging dependency in musculoskeletal oncology.
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Yin et al. (2026) studied this question.
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