Multicenter Trial: MULLET AI Improves Liver Lesion Detection on CT, Reading Time Drops 22%

MULLET AI improved radiologists' AUC for focal liver lesion detection from 0.82 to 0.93 (p<0.0001), sensitivity from 74% to 90%, and cut reading time by 22% in a 375-patient, 10-radiologist multicenter trial.

• Retrospective multicenter, multi-reader, multi-case study with 10 radiologists interpreting 375 contrast-enhanced CTs.
• AI also improved performance across different lesion sizes and subtypes.
• Retrospective design; no external validation reported.

RadPigeon summaries are original and for information only. They are not clinical advice.