An AI-assisted, failure mode-based toolkit for proactive risk management in radiotherapy: A feasibility study

Background and purpose: Proactive risk management is essential for safe radiotherapy (RT), but formal approaches such as Failure Modes and Effects Analysis (FMEA) can be difficult to implement routinely because of time and resource constraints. We developed i-SART (Intelligent Safety Assistant for R...

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Bibliografiske detaljer

Principais autores:	Anastasia Sarchosoglou, Ioannis Genitsarios, Natalia Silvis-Cividjian, Periklis Papavasileiou, Athanasios Bakas, Nikos Papanikolaou, Evangelos Pappas
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-06-01
Serier:	Technical Innovations & Patient Support in Radiation Oncology
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2405632426000314
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