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Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review

2024-05-13

Abstract excerpt

<h4>Background/purpose</h4> The use of artificial intelligence (AI) in radiotherapy (RT) is expanding rapidly. However, there exists a notable lack of clinician trust in AI models, underscoring the need for effective uncertainty quantification (UQ) methods. The purpose of this study was to scope existing literature related to UQ in RT, identify areas of improvement, and determine future directions. <h4>Methods</h4...

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Literature Corpus work
b1143d99-1141-5fbe-a63e-19b96f7b5bf4
DOI
10.1101/2024.05.13.24307226
Open publication

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Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping ReviewDOI 10.1101/2024.05.13.24307226
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