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Enhancing urine cytopathology with artificial intelligence: a systematic review
Fatima Nabiyouni1, Paul Z Chiou1
1Department of Clinical Laboratory and Medical Imaging Sciences, Rutgers University, The State University of New Jersey, Newark, NJ, United States.
Artificial intelligence (AI) shows promise in improving urine cytopathology for detecting urothelial carcinoma (UC). AI enhances diagnostic accuracy and efficiency, potentially reducing pathologist workload in clinical settings.
Area of Science:
- Urology
- Pathology
- Artificial Intelligence
Background:
- Urothelial carcinoma (UC) detection relies on accurate urine cytopathology.
- Pathologist workload and diagnostic variability present challenges in UC diagnosis.
Conclusions:
- AI shows significant potential as a diagnostic aid in urine cytopathology for HGUC detection.
- AI can improve diagnostic accuracy and efficiency in cytopathology.
- Standardization and large-scale validation studies are needed for widespread AI implementation.
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