Enhancing urine cytopathology with artificial intelligence: a systematic review
Artificial intelligence shows strong potential as a diagnostic aid in urine cytopathology, particularly for HGUC detection, by improving accuracy and efficiency. However, challenges such as standardizing its use in different settings remain, along with the need for further large-scale validation studies.
Authors
- Paul Z Chiou (ORCID: https://orcid.org/0000-0001-6986-9992)
- Fatima Nabiyouni
Institutions
- Rutgers, The State University of New Jersey (US)
Publication Details
- Journal
- American Journal of Clinical Pathology
- Published
- 2025-11-15
- DOI
- https://doi.org/10.1093/ajcp/aqaf135
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00