TY - JOUR
T1 - Artificial Intelligence in Radiation Oncology
AU - Deig, Christopher R.
AU - Kanwar, Aasheesh
AU - Thompson, Reid F.
N1 - Publisher Copyright:
© 2019
PY - 2019/12
Y1 - 2019/12
N2 - The integration of artificial intelligence in the radiation oncologist's workflow has multiple applications and significant potential. From the initial patient encounter, artificial intelligence may aid in pretreatment disease outcome and toxicity prediction. It may subsequently aid in treatment planning, and enhanced dose optimization. Artificial intelligence may also optimize the quality assurance process and support a higher level of safety, quality, and efficiency of care. This article describes components of the radiation consultation, planning, and treatment process and how the thoughtful integration of artificial intelligence may improve shared decision making, planning efficiency, planning quality, patient safety, and patient outcomes.
AB - The integration of artificial intelligence in the radiation oncologist's workflow has multiple applications and significant potential. From the initial patient encounter, artificial intelligence may aid in pretreatment disease outcome and toxicity prediction. It may subsequently aid in treatment planning, and enhanced dose optimization. Artificial intelligence may also optimize the quality assurance process and support a higher level of safety, quality, and efficiency of care. This article describes components of the radiation consultation, planning, and treatment process and how the thoughtful integration of artificial intelligence may improve shared decision making, planning efficiency, planning quality, patient safety, and patient outcomes.
KW - Artificial intelligence
KW - Deep learning
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85071986725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071986725&partnerID=8YFLogxK
U2 - 10.1016/j.hoc.2019.08.003
DO - 10.1016/j.hoc.2019.08.003
M3 - Review article
C2 - 31668208
AN - SCOPUS:85071986725
SN - 0889-8588
VL - 33
SP - 1095
EP - 1104
JO - Hematology/Oncology Clinics of North America
JF - Hematology/Oncology Clinics of North America
IS - 6
ER -