A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer

A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer

Background and Purpose: Clinical Artificial Intelligence (AI) implementations lack ground-truth when applied on real-world data. This study investigated how combined geometrical and dose-volume metrics can be used as performance monitoring tools to detect clinically relevant candidates for model ret...

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Bibliographic Details
Main Authors:	Geert De Kerf, Michaël Claessens, Fadoua Raouassi, Carole Mercier, Daan Stas, Piet Ost, Piet Dirix, Dirk Verellen
Format:	Article
Language:	English
Published:	Elsevier 2023-10-01
Series:	Physics and Imaging in Radiation Oncology
Subjects:	Performance monitoring Artificial intelligence SBRT prostate Deep Learning Segmentation Deep Learning Planning Clinical metrics
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631623000854

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