Visualization analysis of research hotspots and trends in MRI-based artificial intelligence in rectal cancer
This study provides an objective and comprehensive overview of the publications on MRI-based AI in RC and identifies the present research landscape, hotspots, and prospective trends in this field, which can provide valuable guidance for scholars worldwide.
Authors
- Guoju Wu
- Tianming Ma (ORCID: https://orcid.org/0000-0001-6045-3130)
- Jianxin Shi (ORCID: https://orcid.org/0000-0002-6481-0032)
- Zijian Li (ORCID: https://orcid.org/0000-0002-9291-5966)
- Jian Cui (ORCID: https://orcid.org/0000-0003-4779-8219)
- Fuhai Ma (ORCID: https://orcid.org/0000-0003-2437-6881)
- Gang Zhao (ORCID: https://orcid.org/0000-0001-7965-8531)
- Qi An (ORCID: https://orcid.org/0000-0001-8564-3344)
- Jiawen Wang (ORCID: https://orcid.org/0009-0005-2775-1845)
Institutions
- Fujian Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fujian Provincial Hospital (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e38927
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21