A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment
This combined approach of AI-based CT features analysis with lung cancer biomarkers provides a more accurate and clinically useful tool for guiding treatment decisions in pulmonary nodule patients. Further studies with larger cohorts are warranted to validate these findings across diverse patient populations.
Authors
- Kaijian Xia (ORCID: https://orcid.org/0000-0002-1650-9982)
- B. Zhao (ORCID: https://orcid.org/0000-0002-4448-2115)
- Ping Zhu (ORCID: https://orcid.org/0000-0002-1153-0379)
- Tao Zhou (ORCID: https://orcid.org/0000-0001-5486-4355)
Institutions
- Soochow University (CN)
- Changshu No.1 People's Hospital (CN)
Publication Details
- Journal
- The Thoracic and Cardiovascular Surgeon
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1055/a-2446-9832
- Citations
- 5
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.09