Reid F. Thompson|Gilmer Valdés|Clifton D. Fuller|Colin M. Carpenter|Olivier Morin|Sanjay Aneja|William D. Lindsay|Hugo J.W.L. Aerts|Barbara Agrimson|Curtiland Deville|Seth A. Rosenthal|James B. Yu|Charles R. Thomas
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
Oregon Health & Science University|VA Portland Health Care System|University of California, San Francisco|The University of Texas MD Anderson Cancer Center|University of California, San Francisco|Yale University|Cohera Medical (United States)|Dana-Farber Cancer Institute|Brigham and Women's Hospital|Oregon Health & Science University|Johns Hopkins Medicine|Johns Hopkins University|Sutter Medical Center|Yale University|Oregon Health & Science University
artificial intelligence ai emerging technology power transform established industries applications automated manufacturing advertising facial recognition fully autonomous transportation advances domains led call ai fourth industrial revolution 1 healthcare ai emerging productive disruptive force across many disciplines perhaps evident diagnostic radiology pathology specialties largely built around processing complex interpretation medical images role ai increasingly seen boon threat radiation oncology well ai seems poised reshape specialty significant ways though impact ai relatively limited present may rightly seem distant many given predominantly interpersonal complex interventional nature specialty overview explore current state anticipated future impact ai radiation oncology detail focusing key topics multiple stakeholder perspectives well role specialty may play helping shape future ai within larger spectrum medicine