优化癌症治疗：探索人工智能在放射免疫治疗中的作用。
Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy.
作者信息
Azadinejad Hossein, Farhadi Rad Mohammad, Shariftabrizi Ahmad, Rahmim Arman, Abdollahi Hamid
机构信息
Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah 6714869914, Iran.
Radiology and Nuclear Medicine Department, School of Paramedical Sciences, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran.
出版信息
Diagnostics (Basel). 2025 Feb 6;15(3):397. doi: 10.3390/diagnostics15030397.
Radioimmunotherapy (RIT) is a novel cancer treatment that combines radiotherapy and immunotherapy to precisely target tumor antigens using monoclonal antibodies conjugated with radioactive isotopes. This approach offers personalized, systemic, and durable treatment, making it effective in cancers resistant to conventional therapies. Advances in artificial intelligence (AI) present opportunities to enhance RIT by improving precision, efficiency, and personalization. AI plays a critical role in patient selection, treatment planning, dosimetry, and response assessment, while also contributing to drug design and tumor classification. This review explores the integration of AI into RIT, emphasizing its potential to optimize the entire treatment process and advance personalized cancer care.
放射免疫疗法（RIT）是一种新型癌症治疗方法，它将放射疗法和免疫疗法相结合，利用与放射性同位素偶联的单克隆抗体精确靶向肿瘤抗原。这种方法提供个性化、全身性和持久的治疗，使其对传统疗法耐药的癌症有效。人工智能（AI）的进展为通过提高精准度、效率和个性化来增强RIT提供了机会。AI在患者选择、治疗计划、剂量测定和反应评估中发挥着关键作用，同时也有助于药物设计和肿瘤分类。本综述探讨了AI与RIT的整合，强调其优化整个治疗过程和推进个性化癌症护理的潜力。
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