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Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'?

Authors :
Baroudi, Hana
Brock, Kristy K.
Cao, Wenhua
Chen, Xinru
Chung, Caroline
Court, Laurence E.
El Basha, Mohammad D.
Farhat, Maguy
Gay, Skylar
Gronberg, Mary P.
Gupta, Aashish Chandra
Hernandez, Soleil
Huang, Kai
Jaffray, David A.
Lim, Rebecca
Marquez, Barbara
Nealon, Kelly
Netherton, Tucker J.
Nguyen, Callistus M.
Reber, Brandon
Source :
Diagnostics (2075-4418); Feb2023, Vol. 13 Issue 4, p667, 21p
Publication Year :
2023

Abstract

Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is 'clinical acceptability'? Quantitative and qualitative approaches have been used to assess this ill-defined concept, all of which have advantages and disadvantages or limitations. The approach chosen may depend on the goal of the study as well as on available resources. In this paper, we discuss various aspects of 'clinical acceptability' and how they can move us toward a standard for defining clinical acceptability of new autocontouring and planning tools. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
4
Database :
Complementary Index
Journal :
Diagnostics (2075-4418)
Publication Type :
Academic Journal
Accession number :
162116764
Full Text :
https://doi.org/10.3390/diagnostics13040667