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The global research of artificial intelligence in lung cancer: a 20-year bibliometric analysis
Ruikang Zhong1, Tangke Gao1, Jinghua Li1
1Beijing University of Chinese Medicine, Beijing, China.
Frontiers in Oncology
|February 19, 2024
Summary
Artificial intelligence (AI) is revolutionizing lung cancer research, enhancing early diagnosis and treatment. Future directions emphasize non-invasive methods and increased global collaboration in AI for lung cancer.
Area of Science:
- Bibliometrics
- Artificial Intelligence
- Oncology
Background:
- Lung cancer (LC) is a leading cause of cancer incidence and mortality worldwide.
- Early screening and precise treatment are critical research areas for LC.
- Artificial intelligence (AI) offers significant advantages in LC early diagnosis, classification, treatment, and prognosis prediction.
Purpose of the Study:
- To conduct a bibliometric analysis of AI in lung cancer research.
- To visualize research history, current status, hotspots, and trends.
- To predict future research directions and emerging hotspots in AI for LC.
Main Methods:
- Bibliometric analysis of 2931 articles published between 2003 and 2023.
- Analysis of contributions from authors, countries, and institutions.
- Identification of key journals, highly cited papers, and prevalent keywords.
Main Results:
- China, USA, and India are leading contributors to AI in LC research.
- Shanghai Jiaotong University, Chinese Academy of Sciences, and Harvard Medical School are prominent institutions.
- Keywords include lung cancer, classification, machine learning, and deep learning; Nicolas Coudray et al. authored the most cited paper.
Conclusions:
- AI in lung cancer research shows substantial application prospects with growing scholarly interest.
- Future research will likely focus on non-invasive diagnosis and precise minimally invasive treatments using AI.
- Enhanced collaboration among countries, institutions, and industry-academia partnerships is crucial.
