Back to Search Start Over

Artificial intelligence in interventional radiotherapy (brachytherapy): Enhancing patient-centered care and addressing patients’ needs

Authors :
Bruno Fionda
Elisa Placidi
Mischa de Ridder
Lidia Strigari
Stefano Patarnello
Kari Tanderup
Jean-Michel Hannoun-Levi
Frank-André Siebert
Luca Boldrini
Maria Antonietta Gambacorta
Marco De Spirito
Evis Sala
Luca Tagliaferri
Source :
Clinical and Translational Radiation Oncology, Vol 49, Iss , Pp 100865- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

This review explores the integration of artificial intelligence (AI) in interventional radiotherapy (IRT), emphasizing its potential to streamline workflows and enhance patient care. Through a systematic analysis of 78 relevant papers spanning from 2002 to 2024, we identified significant advancements in contouring, treatment planning, outcome prediction, and quality assurance. AI-driven approaches offer promise in reducing procedural times, personalizing treatments, and improving treatment outcomes for oncological patients. However, challenges such as clinical validation and quality assurance protocols persist. Nonetheless, AI presents a transformative opportunity to optimize IRT and meet evolving patient needs.

Details

Language :
English
ISSN :
24056308
Volume :
49
Issue :
100865-
Database :
Directory of Open Access Journals
Journal :
Clinical and Translational Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.b9487bf4bda94094b8358aff23d22044
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ctro.2024.100865