Artificial Intelligence Applications in Radiotherapy Planning and Delivery Optimizatio

Abstract

Artificial intelligence (AI) has emerged as a transformative force in the field of radiotherapy, offering novel solutions for planning and delivery optimization. By integrating machine learning algorithms and data-driven approaches, AI can enhance the precision, efficiency, and efficacy of radiotherapy treatments. This paper explores the current applications of AI in radiotherapy, including automated treatment planning, adaptive radiotherapy, and predictive modeling for treatment outcomes. We examine the technological advancements and clinical benefits of AIdriven radiotherapy systems, highlighting key studies that demonstrate improved diametric accuracy, reduced planning time, and enhanced patient-specific treatment adaptation. Furthermore, we discuss the challenges and future directions for AI integration in radiotherapy, emphasizing the need for robust validation, regulatory considerations, and the potential for AI to revolutionize personalized cancer treatment. Through a comprehensive review of existing literature and ongoing research, this paper aims to provide a holistic understanding of AI's role in optimizing radiotherapy planning and delivery, ultimately contributing to the advancement of cancer treatment and patient care.