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Artificial intelligence in urolithiasis: a systematic review of utilization and effectiveness
Abdullah Altunhan1, Selim Soyturk1, Furkan Guldibi1
1Meram School of Medicine, Urology Department, Necmettin Erbakan University, Konya, Türkiye.
Artificial intelligence (AI) demonstrates high precision in urolithiasis management, excelling in stone detection, composition analysis, and predicting stone passage. AI models show superior accuracy compared to traditional methods, indicating potential for clinical integration.
Area of Science:
- Urology
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is rapidly advancing in medical applications, with significant potential in urology, particularly for urolithiasis.
- AI offers promising capabilities for diagnosis, treatment, and risk forecasting in stone disease management.
Conclusions:
- AI plays an increasingly vital role in urolithiasis management, surpassing traditional approaches in diagnosis, monitoring, and treatment.
- High precision and accuracy rates suggest AI's readiness for integration into routine clinical practice.
- Further research is needed to confirm AI's long-term utility and establish it as a standard tool in urological care.
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