Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment

This study provides important information about radiation oncology professionals' priorities for AI in treatment planning. The findings from this study can be used to inform future research on economic evaluations and management perspectives of AI-driven technologies in radiation therapy.

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Publication Details

Journal
Journal of Medical Radiation Sciences
Published
2024-12-20
DOI
https://doi.org/10.1002/jmrs.843
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12

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article

Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment

Jackie Yim, Milena Lewandowska, Scott Jones, Deborah J. Street et al.
1 citations
Journal of Medical Radiation Sciences
Artificial Intelligence in Healthcare and Education
0.12
article

Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment

Jackie Yim, Milena Lewandowska, Scott Jones, Deborah J. Street, Rosalie Viney
article en
1 citations

Abstract

This study provides important information about radiation oncology professionals' priorities for AI in treatment planning. The findings from this study can be used to inform future research on economic evaluations and management perspectives of AI-driven technologies in radiation therapy.

Journal of Medical Radiation SciencesVol. 72(S2)
University of Technology Sydney (AU), Royal North Shore Hospital (AU), Princess Alexandra Hospital (AU)
Australian Government, University of Technology Sydney
Openalex Percentile: Top 46%
Artificial Intelligence in Healthcare and Education
0.12
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