Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology.
World J UrolSep 26, 2026 (epub)
Theo Clark, Samuel Murphy, Solomon Bracey et al.
✦ AI-curated · Sources linked
In 30 seconds
This systematic review evaluated the impact of artificial intelligence (AI) on radiation dose reduction in urological CT imaging. Analyzing eleven studies, the review found that AI techniques led to radiation dose reductions of 60-80% while maintaining or improving image quality. The findings suggest potential benefits of AI in clinical practice, although diagnostic performance evidence remains limited.
Key findings
- AI techniques resulted in radiation dose reductions of 60-80%.
- Image quality was maintained or improved, with reduced image noise.
- Limited evidence showed comparable diagnostic performance between AI and conventional methods.
- Further research is needed to quantify the clinical effectiveness of AI techniques.
Why it matters
Reducing radiation exposure in urological imaging is crucial for patient safety, especially given the frequency of CT scans in this population. AI technologies may offer a viable solution to minimize risks while preserving diagnostic quality.