Applied advances of AI in radiotherapy for cervical cancer
10.3969/j.issn.1672-8270.2025.09.028
- VernacularTitle:人工智能在宫颈癌放射治疗中的应用进展
- Author:
Rongyao CHEN
1
;
Qianjian WU
;
Meiyan LI
;
Caihua LIN
;
Junmei HUANG
;
Xufeng GUO
Author Information
1. 吴川市人民医院肿瘤科 吴川 524500
- Publication Type:Journal Article
- Keywords:
Artificial intelligence(AI);
Cervical cancer;
Radiotherapy;
Deep learning
- From:
China Medical Equipment
2025;22(9):143-149
- CountryChina
- Language:Chinese
-
Abstract:
Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.
