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Groundhog Day for Medical Artificial Intelligence
Author(s) -
London Alex John
Publication year - 2018
Publication title -
hastings center report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.515
H-Index - 63
eISSN - 1552-146X
pISSN - 0093-0334
DOI - 10.1002/hast.842
Subject(s) - retrenchment , artificial intelligence , economic shortage , shadow (psychology) , applications of artificial intelligence , investment (military) , psychology , computer science , political science , government (linguistics) , law , philosophy , psychoanalysis , linguistics , public administration , politics
Following a boom in investment and overinflated expectations in the 1980s, artificial intelligence entered a period of retrenchment known as the “AI winter.” With advances in the field of machine learning and the availability of large datasets for training various types of artificial neural networks, AI is in another cycle of halcyon days. Although medicine is particularly recalcitrant to change, applications of AI in health care have professionals in fields like radiology worried about the future of their careers and have the public tittering about the prospect of soulless machines making life‐and‐death decisions. Medicine thus appears to be at an inflection point—a kind of Groundhog Day on which either AI will bring a springtime of improved diagnostic and predictive practices or the shadow of public and professional fear will lead to six more metaphorical weeks of winter in medical AI .