Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review.

Kareem A WahidZaphanlene Y KaffeyDavid P FarrisLaia Humbert-VidanAmy C MorenoMathis RasmussenJintao RenMohamed A NaserTucker J NethertonStine KorremanGuha BalakrishnanClifton David FullerDavid FuentesMichael J Dohopolski

Published in: medRxiv : the preprint server for health sciences (2024)

Our review revealed a lack of diversity in UQ for RT applications beyond auto-contouring. Moreover, there was a clear need to study additional UQ methods, such as conformal prediction. Our results may incentivize the development of guidelines for reporting and implementation of UQ in RT.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
early stage
radiation therapy
weight loss
clinical practice
squamous cell carcinoma
emergency department
drug induced