Artificial intelligence algorithms enhance urine cytology reporting confidence in postoperative follow-up for upper urinary tract urothelial carcinoma
The AIxURO system enhanced postoperative urine cytology reporting confidence and could identify some underdiagnosed slides to enhance the early detection of UTUC with intravesical recurrence. AIxURO may be used for post-nephroureterectomy follow-up and reduce the necessity for cystoscopy.
Authors
- Jing-Yi Lai
- Cheng‐Hung Yeh
- C. Chen (ORCID: https://orcid.org/0000-0001-5301-1609)
- Jian‐Ri Li (ORCID: https://orcid.org/0000-0002-4626-9369)
- Tien‐Jen Liu
- Cheng‐Che Chen (ORCID: https://orcid.org/0000-0001-5430-0576)
- Chi‐Shun Yang (ORCID: https://orcid.org/0000-0001-9293-9864)
- Shu‐Jiuan Lin
- Chih‐Jung Chen (ORCID: https://orcid.org/0000-0002-2056-5821)
- Ming-Yu Lin (ORCID: https://orcid.org/0009-0004-5270-1228)
- Tsung-Han Yen
- Shih‐Wen Hsu
Institutions
- National Chung Hsing University (TW)
- National Taiwan University (TW)
- Taichung Veterans General Hospital (TW)
- ZeptoMetrix (United States) (US)
- Chung Shan Medical University (TW)
- Hungkuang University (TW)
Publication Details
- Journal
- International Urology and Nephrology
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1007/s11255-024-04270-8
- Citations
- 4
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.29
Funders
- Taichung Veterans General Hospital