Answers are grounded in this paper and cite their sources.
Review highlights how AI enhances treatment planning, segmentation, and precision in radiation oncology, suggesting significant improvements.
Artificial Intelligence (AI) is making headlines across the world today. It is helping drive up the stock prices of many companies, inspiring startups, and creating excitement about how it will improve lives. In this article, we review how AI can be used to revolutionize radiation oncology, which relies heavily on computer software and digital data to treat cancer patients using radiation therapy (RT). First, we describe AI and how it functions. Second, we reviewed how AI can have transformative applications in radiation oncology to improve accuracy, efficiency, and precision across (1) treatment planning, (2) segmentation, (3) motion management, (4) quality assurance, (5) personalized treatment, (6) treatment response, and (7) tumor position. Finally, we conclude by describing potential solutions for challenges around data, education, regulation, and security across the rapidly advancing landscape of AI in radiation oncology.
No takes yet. Share an insight, caveat, or question.
Sakinah Khuram (2024) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: