Trends in artificial intelligence and machine learning for renal cancer
AI and ML are expected to play an increasingly important in RC research as technological advancements and in-depth studies continue. Addressing the challenges and limitations related to these technologies is crucial for their successful and ethical integration into clinical practice. Ongoing research, collaboration, and innovation are essential to overcome these hurdles and fully leverage the benefits of AI and ML in oncology.
Authors
- Zipu Dong (ORCID: https://orcid.org/0000-0002-2984-1650)
- Z. H. Xi (ORCID: https://orcid.org/0009-0006-8366-3732)
- Ji-rui Niu (ORCID: https://orcid.org/0000-0002-7815-9666)
- Shuhua Yu (ORCID: https://orcid.org/0000-0003-3792-1797)
- Zhaohui Xing (ORCID: https://orcid.org/0000-0002-7752-0333)
- Jian Kang (ORCID: https://orcid.org/0000-0001-6330-769X)
- Yin Yu (ORCID: https://orcid.org/0009-0000-7897-6079)
Institutions
- Harbin Medical University (CN)
- Fourth Affiliated Hospital of Harbin Medical University (CN)
- Heilongjiang Provincial Hospital (CN)
- Japan Community Healthcare Organization (JP)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1007/s12672-025-04089-4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00