Research progress in early-stage lung cancer risk assessment methods based on artificial intelligence
10.3760/cma.j.cn121382-20230710-00615
- VernacularTitle:基于人工智能的早期肺癌风险评估方法研究进展
- Author:
Yali TAO
1
;
Yang CHEN
;
Shouqiang JIA
;
Shengdong NIE
Author Information
1. 上海理工大学健康科学与工程学院，上海 200093
- Keywords:
Early-stage lung cancer;
Risk assessment model;
Predictive factors;
Medical imaging
- From:
International Journal of Biomedical Engineering
2023;46(6):575-580
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer is one of the most serious malignant tumors threatening human health. Early detection and accurate risk assessment are crucial for improving the survival rate and prognosis of lung cancer patients. In this review paper, the research progress in early-stage lung cancer risk assessment methods based on predictive factors and medical imaging was summarized. The results indicated that by utilizing more diverse machine learning algorithms and larger-scale datasets, independent risk prediction factors can be further mined to achieve an accurate assessment of individual lung cancer risk.
