AI-enhanced diagnostic model for pulmonary nodule classification
This diagnostic model and DCA could provide evidence for upgrading or maintaining the current clinical decision based on malignancy probability stratification. It enables low and moderate risk or ambiguous patients to benefit from more precise clinical decision stratification, more timely detection of malignant nodules, and early treatment.
Authors
- Wei Xuan (ORCID: https://orcid.org/0000-0001-7169-8299)
- Jifei Chen (ORCID: https://orcid.org/0000-0002-9193-0638)
- Moyu Ming
- Sufang Zhou (ORCID: https://orcid.org/0000-0001-5597-1726)
- Jinyan Wu (ORCID: https://orcid.org/0000-0001-7346-8542)
- Shuangping Huang (ORCID: https://orcid.org/0000-0002-8803-0065)
- Zhougui Ling (ORCID: https://orcid.org/0000-0003-1611-8946)
Institutions
- Guangxi Medical University (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3389/fonc.2024.1417753
- Citations
- 2
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Natural Science Foundation of China
- Guangxi Key Research and Development Program