TY - JOUR
T1 - Impact of artificial intelligence on women’s imaging
T2 - Cost-benefit analysis
AU - Mayo, Ray C.
AU - Leung, Jessica W.T.
N1 - Publisher Copyright:
© American Roentgen Ray Society
PY - 2019/5
Y1 - 2019/5
N2 - OBJECTIVE. The purpose of this article is to identify and discuss four areas in which artificial intelligence (AI) must excel to become clinically viable: performance, time, work flow, and cost. CONCLUSION. AI holds tremendous potential for transforming the practice of radiology, but certain metrics are needed to objectively quantify its impact. As patients, physicians, hospitals, and insurance companies look for value, AI must earn a role in medical imaging.
AB - OBJECTIVE. The purpose of this article is to identify and discuss four areas in which artificial intelligence (AI) must excel to become clinically viable: performance, time, work flow, and cost. CONCLUSION. AI holds tremendous potential for transforming the practice of radiology, but certain metrics are needed to objectively quantify its impact. As patients, physicians, hospitals, and insurance companies look for value, AI must earn a role in medical imaging.
KW - Artificial intelligence
KW - Breast cancer screening
KW - Computer-aided detection
KW - Cost-benefit
KW - Women’s imaging
UR - http://www.scopus.com/inward/record.url?scp=85065656351&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065656351&partnerID=8YFLogxK
U2 - 10.2214/AJR.18.20419
DO - 10.2214/AJR.18.20419
M3 - Article
C2 - 30779657
AN - SCOPUS:85065656351
SN - 0361-803X
VL - 212
SP - 1172
EP - 1173
JO - American Journal of Roentgenology
JF - American Journal of Roentgenology
IS - 5
ER -