Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Short summary

Deep learning (DL) algorithms demonstrate high diagnostic accuracy (AUCs 0.864-1.0) across ophthalmology, respiratory, and breast imaging, but significant heterogeneity in study methodology and reporting standards may lead to overestimated performance.

AI-generated from the title and abstract; the full text is not read.