The Case for User-Centered Artificial Intelligence in Radiology

Ross W Filice1, Raj M Ratwani1

  • 1MedStar Health, MedStar Georgetown University Hospital, 3800 Reservoir Rd, NW CG201, Washington DC, 20007 (R.W.F.); and MedStar Health, National Center for Human Factors in Healthcare, Washington, DC (R.M.R.).

Summary

User-centered design and human factors science are crucial for successful artificial intelligence adoption in radiology, drawing lessons from past technology transitions.