• Hematol. Oncol. Clin. North Am. · Dec 2019

    Review

    Artificial Intelligence in Radiation Oncology.

    • Christopher R Deig, Aasheesh Kanwar, and Reid F Thompson.
    • Radiation Medicine, Oregon Health & Science University, 3181 Southwest Sam Jackson Park Road, Portland, OR 97239, USA.
    • Hematol. Oncol. Clin. North Am. 2019 Dec 1; 33 (6): 1095-1104.

    AbstractThe 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.Published by Elsevier Inc.

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