Artificial intelligence-based personalized oncological outcome prediction model for upper urinary tract urothelial carcinoma after radical nephroureterectomy: A development and multicenter validation
AI-based model effectively predicts disease-free and OS outcomes for upper-urinary tract urothelial carcinoma patients with post-radical nephroureterectomy, showcasing robust performance across multicenter settings.
Authors
- Ina Jeong (ORCID: https://orcid.org/0000-0002-0937-9833)
- Bumjin Lim (ORCID: https://orcid.org/0000-0002-1746-6072)
- Dalsan You
- Jun Hyuk Hong (ORCID: https://orcid.org/0000-0003-2705-0481)
- Hyun Young Lee (ORCID: https://orcid.org/0000-0002-6706-3554)
- Cheryn Song
- Bumsik Hong
- Jungyo Suh
- Ja Hyeon Ku
- Hwanik Kim
- Hanjong Ahn
- Seung-hwan Jeong
Institutions
- Ulsan College (KR)
- Soonchunhyang University Hospital Seoul (KR)
- Asan Medical Center (KR)
- Seoul National University Hospital (KR)
- University of Ulsan (KR)
- Kangwon National University Hospital (KR)
- Hallym University Sacred Heart Hospital (KR)
Publication Details
- Journal
- Investigative and Clinical Urology
- Published
- 2025-12-30
- DOI
- https://doi.org/10.4111/icu.20250385
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00