A systematic review identified 26 distinct automated machine learning (autoML) platforms that have been trialled and/or applied in a clinical context.

The performance of autoML compares well to bespoke computational and clinical benchmarks across clinical tasks ranging from diagnosis to prognostication, with exemplar use cases including identifying pathology on common imaging modalities.

^{Illustration by Ngiam Li Yi}