Clinical application and research progress of artificial intelligence-assisted diagnosis of pulmonary nodules
- VernacularTitle:人工智能辅助诊断肺结节临床应用与研究进展
- Author:
Chen LIU
1
,
2
;
Zemin FANG
3
,
4
;
Zuoliang SHAO
1
,
2
;
Ruoting YU
1
,
2
;
Wei GAO
1
,
2
Author Information
1. Department of Cardiothoracic Surgery, Tianyou Hospital Affiliated to Wuhan University of Science &
2. Technology, Wuhan, 430064, P. R. China
3. 1. Department of Cardiothoracic Surgery, Tianyou Hospital Affiliated to Wuhan University of Science &
4. Technology, Wuhan, 430064, P. R. China 2. Department of Cardiavascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P. R. China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
computer-assisted diagnosis;
pulmonary nodules;
clinical application
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2025;32(06):846-854
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence (AI) has been widely used in all walks of life, including healthcare, and has shown great application value in the auxiliary diagnosis of pulmonary nodules in the medical field. In the face of a large amount of lung imaging data, clinicians use AI tools to identify lesions more quickly and accurately, improving work efficiency, but there are still many problems in this field, such as the high false positive rate of recognition, and the difficulty in identifying special types of nodules. Researchers and clinicians are actively developing and using AI tools to promote their continuous evolution and make them better serve human health. This article reviews the clinical application and research progress of AI-assisted diagnosis of pulmonary nodules.
