Application of artificial intelligence in lung cancer screening: A real‐world study in a Chinese physical examination population
Our findings underscore the superior screening positive rate and lung cancer detection rate achieved through AI-assisted reading compared with manual interpretation. Thus, AI exhibits considerable potential as an adjunctive tool in lung cancer screening within clinical practice settings.
Authors
- Jiadi Gan (ORCID: https://orcid.org/0009-0005-1199-7656)
- Guiyi Ji
- Wenjuan Tao (ORCID: https://orcid.org/0000-0002-5926-2545)
- Jiaxuan Wu (ORCID: https://orcid.org/0009-0000-9694-7212)
- Ruicen Li
- Weimin Li (ORCID: https://orcid.org/0000-0003-0985-0311)
- Wenyu Li (ORCID: https://orcid.org/0000-0002-6444-7149)
- Ming Yang
- Qian Zheng (ORCID: https://orcid.org/0009-0002-4370-8175)
- Guoqing Wang (ORCID: https://orcid.org/0000-0002-8601-1231)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Thoracic Cancer
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1111/1759-7714.15428
- Citations
- 14
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.87
Funders
- National Natural Science Foundation of China
- Sichuan University
- Natural Science Foundation of Sichuan Province
- Sichuan Province Science and Technology Support Program
- West China Hospital, Sichuan University