Applications and Challenges of Artificial Intelligence in Early Diagnosis and Precise Treatment of Lung Cancer
10.3971/j.issn.1000-8578.2024.24.0755
- VernacularTitle:人工智能在肺癌早期诊断与精准治疗中的应用与挑战
- Author:
Shouyu ZHANG
1
;
Bojiang CHEN
1
;
Weimin LI
1
Author Information
1. Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:SPECIALFEATURE
- Keywords:
Artificial intelligence;
Diagnosis and treatment;
Applications;
Challenges
- From:
Cancer Research on Prevention and Treatment
2024;51(12):1000-1006
- CountryChina
- Language:Chinese
-
Abstract:
The incidence and mortality of lung cancer are extremely high, and the 5-year survival rate of patients after diagnosis is less than 20%; as such, early screening and intervention are important. However, doctors are overwhelmed with a large workload of CT scan review in a short period of time and should ensure that the rate of missed diagnosis and misdiagnosis is low. Artificial intelligence can assist doctors in early diagnosis and precise treatment of lung cancer, but this technology has problems. This paper reviews the application of artificial intelligence in the prediction of benign and malignant lung nodules, pathology, gene mutation, intervention scheme, treatment response, and prognosis and presents the corresponding challenges.
