RT Journal Article
SR Electronic
T1 The automation of doctors and machines: A classification for AI in medicine (ADAM framework)
JF Future Healthcare Journal
JO Future Healthc J
FD Royal College of Physicians
SP e257
OP e262
DO 10.7861/fhj.2020-0189
VO 8
IS 2
A1 Fawz Kazzazi
YR 2021
UL http://www.rcpjournals.org/content/8/2/e257.abstract
AB The advances in artificial intelligence (AI) provide an opportunity to expand the frontier of medicine to improve diagnosis, efficiency and management. By extension of being able to perform any task that a human could, a machine that meets the requirements of artificial general intelligence (‘strong’ AI; AGI) possesses the basic necessities to perform as, or at least qualify to become, a doctor. In this emerging field, this article explores the distinctions between doctors and AGI, and the prerequisites for AGI performing as clinicians. In doing so, it necessitates the requirement for a classification of medical AI and prepares for the development of AGI. With its imminent arrival, it is beneficial to create a framework from which leading institutions can define specific criteria for AGI.