Results of an Artificial Intelligence-Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed Tomography-Guided Radiation Therapy.

Dishane C LuximonJack NeylonTimothy RitterNzhde AgazaryanJohn V HegdeMichael L SteinbergDaniel A LowJames M Lamb

Published in: International journal of radiation oncology, biology, physics (2024)

Our results validated the clinical utility of the EDA for bulk image reviews and highlighted the reliability and safety of IGRT, with an absolute gross patient misalignment error rate of 0.04% ± 0.02% per delivered fraction.

Keyphrases

artificial intelligence
deep learning
radiation therapy
cone beam computed tomography
machine learning
case report
big data
adverse drug
emergency department
systematic review
squamous cell carcinoma
radiation induced
locally advanced
drug induced