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Deep learning from "passive feeding" to "selective eating" of real-world data
2020
npj Digital Medicine
Artificial intelligence (AI) based on deep learning has shown excellent diagnostic performance in detecting various diseases with good-quality clinical images. Recently, AI diagnostic systems developed from ultra-widefield fundus (UWF) images have become popular standard-of-care tools in screening for ocular fundus diseases. However, in real-world settings, these systems must base their diagnoses on images with uncontrolled quality ("passive feeding"), leading to uncertainty about their
doi:10.1038/s41746-020-00350-y
pmid:33145439
pmcid:PMC7603327
fatcat:arm52bvgmrafzia6m3vyyb7g44