太原理工大学学报2025，Vol.56Issue(5)：821-838,18.DOI:10.16355/j.tyut.1007-9432.20240644
肺癌免疫治疗疗效的智能预测:现状、挑战与未来方向
Intelligent Prediction of Lung Cancer Immunotherapy Efficacy:Current State,Challenges,and Future Directions
摘要
Abstract
[Purposes]Immunotherapy,especially immune checkpoint inhibitors(ICIs),as a promising and sustained antitumor therapy,has brought new hope to lung cancer patients.However,its high cost,significant toxic side effects,and individualized differences in efficacy have become ma-jor challenges in clinical practice.Therefore,accurate prediction of immunotherapy efficacy in indi-vidual patient has become a hot topic in current research.With the successful application of artificial in-telligence(AI)technology in the medical field,more and more studies have shown that immuno-therapy efficacy can be predicted more effectively with the help of AI technology.[Results]In this pa-per,current research advances and practical applications in immunotherapy efficacy are reviewed,with a focus covering indirect prediction methods based on molecular markers and driver gene altera-tions,as well as direct prediction models based on clinical outcomes and follow-up imaging data are reviewed.Meanwhile,the challenges and future research directions of AI in the field of immuno-therapy are discussed,aiming to provide new ideas and methods for efficacy prediction research.关键词
人工智能/免疫检查点抑制剂/生物标志物/非小细胞肺癌/疗效预测Key words
artificial intelligence/immune checkpoint inhibitors/biomarkers/non-small cell lung cancer/immunotherapy efficacy prediction分类
信息技术与安全科学引用本文复制引用
杨菀婷,段建雄,武炜,赵涓涓,强彦,赵慧兰,孔晓梅..肺癌免疫治疗疗效的智能预测:现状、挑战与未来方向[J].太原理工大学学报,2025,56(5):821-838,18.基金项目
国家自然科学基金资助项目(61972274,U21A20469) （61972274,U21A20469）
