Should an artificial intelligence (AI) program that appears to have a better success rate than human pathologists be used to replace or augment humans in detecting cancer cells? We argue that some concerns—the “black-box” problem (ie, the unknowability of how output is derived from input) and automation bias (overreliance on clinical decision support systems)—are not significant from a patient’s perspective but that expertise in AI is required to properly evaluate test results.
1/3 This infographic, FDA approvals for artificial intelligence-based algorithms in medicine, was designed and created by The Medical Futurist to give a clear picture about the state of A.I. in medicine and healthcare with an emphasis on FDA regulations. #digitalhealth pic.twitter.com/v68SO02dHl— Berci Meskó, MD, PhD (@Berci) June 4, 2019