Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning.

The aim of this work was to develop a novel artificial intelligence-assisteddosimetry method using time-resolved (TR) dose verification data to improve quality of external beam radiotherapy.. Although threshold classification methods are commonly used in error classification, they may lead to missing errors due to the loss of information resulting from the compression of multi-dimensional electronic portal imaging device (EPID) data into one or a few numbers.