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
big data
machine learning
deep learning
early stage
primary care
healthcare
weight loss
radiation therapy
locally advanced
radiation induced
emergency department
rectal cancer
electronic health record