| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Clinical and Translational Radiation Oncology, Vol 49, Iss , Pp 100865- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2405-6308 |
| DOI: |
10.1016/j.ctro.2024.100865 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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