Explainable AI In Health Care: Gaining Context Behind A Diagnosis

Most of the available health care diagnostics that use artificial intelligence (AI) function as black boxes--meaning that results do not include any explanation of why the machine thinks a patient has a certain disease or disorder. While AI technologies are extraordinarily powerful, adoption of these algorithms in health care has been slow because doctors and regulators cannot verify their results. However, a new type of algorithm called "explainable AI" (XAI) can be easily understood by humans. As a result, all signs point to XAI being rapidly adopted across health care, making it likely that providers will actually use the associated diagnostics. With advantages over black box AI, Explainable AI (XAI) is likely to be the dominant algorithm in health care.