Results of an Artificial Intelligence-Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed Tomography-Guided Radiation Therapy

Author:

Luximon Dishane C.ORCID,Neylon Jack,Ritter Timothy,Agazaryan Nzhde,Hegde John V.,Steinberg Michael L.,Low Daniel A.,Lamb James M.

Funder

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Reference21 articles.

1. ASTRO. RO-ILS aggregate report Q1 2023. Accessed June 20, 2023.https://www.astro.org/Patient-Care-and-Research/Patient-Safety/RO-ILS/RO-ILS-Education

2. Doroszczuk B, Bardet MC, Covard F, Javay O. ASN Report on the state of nuclear safety and radiation protection in France in 2021 + abstracts (INIS-FR—22-0646). Available at: ​https://www.french-nuclear-safety.fr/asn-informs/publications/asn-s-annual-reports/asn-report-on-the-state-of-nuclear-safety-and-radiation-protection-in-france-in-2021. Accessed September 4, 2024

3. Quality management in radiation therapy: A 15 year review of incident reporting in two integrated cancer centres;Smith;Tech Innov Patient Support Radiat Oncol,2020

4. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management;Huq;Med Phys,2016

5. Common error pathways seen in the RO-ILS data that demonstrate opportunities for improving treatment safety;Ezzell;Pract Radiat Oncol,2018

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