AI-Calibrated Image Quality Score Predicts Prostate MRI Diagnostic Performance

A deep learning image quality score correlated with improved prostate MRI diagnostic performance: AI model AUC rose from 0.92 to 0.99 and radiologist accuracy from 77% to 85% for clinically significant prostate cancer detection as image quality increased.

• The deep learning model achieved a mean AUC of 0.99 for distinguishing low- versus high-quality axial T2-weighted images during training.
• The study calibrated an AI-derived continuous quality score directly against clinical diagnostic outcomes rather than subjective reader labels.

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