Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy
Purpose: Erroneous radiation therapy (RT) prescriptions (Rx) can lead to injury or death of patients. A novel data-driven model that uses similarity learning to identify atypical Rx was recently published. In that study, prototype analysis was conducted within a single institution with a single trea...
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| Main Authors: | Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Advances in Radiation Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2452109425000910 |
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