AI Article Synopsis
- This review investigates how artificial intelligence (AI) can improve interventional radiotherapy (IRT) by making workflows more efficient and enhancing patient care.
- Analyzing 78 studies from 2002 to 2024, it highlights advancements in areas like treatment planning, contouring, outcome prediction, and quality assurance.
- While AI shows potential for reducing procedure times and personalizing treatments, challenges like clinical validation and quality assurance remain important to address.
Article 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459626 | PMC |
| http://dx.doi.org/10.1016/j.ctro.2024.100865 | DOI Listing |
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