Research trends of artificial intelligence and radiomics in lung cancer: a bibliometric analysis
This study used bibliometric methods to analyze the relevant literature to discuss the current research hotspots and future trends in the application of AI and radiomics in lung cancer. This information may help relevant researchers to shape the direction of future studies, such as innovations in AI techniques standardized feature extraction, and extend understandings of epidermal growth factor receptor mutations.
Authors
- Yufei Xia (ORCID: https://orcid.org/0000-0001-7805-8091)
- Xinjing Lou (ORCID: https://orcid.org/0000-0002-1104-5728)
- Linyu Wu (ORCID: https://orcid.org/0000-0001-7695-0385)
- Chen Gao (ORCID: https://orcid.org/0000-0001-9372-8014)
- Meiqi Hua
- Sheng Zhong (ORCID: https://orcid.org/0000-0003-1694-5028)
Institutions
- Zhejiang Chinese Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.21037/qims-24-1316
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Zhejiang Chinese Medical University
- Medical Science and Technology Project of Zhejiang Province
- Natural Science Foundation of Zhejiang Province
- Science and Technology Program of Zhejiang Province