Research
AI used to better predict kidney stone composition
The Brief
- Mayo Clinic researchers developed and tested an AI model for predicting kidney stone composition.
- The model uses results from a standard 24-hour urine test.
- In the study, the AI model predicted stone composition more accurately than a conventional urine-based calculation.
Why it matters
It suggests that a routine urine test could be analysed with AI to estimate stone composition more accurately, which could guide prevention and treatment decisions.
Who’s affected
- clinicians who diagnose and treat kidney stones
- patients with kidney stones
- #kidney stones
- #urology
- #artificial intelligence
- #diagnostics
- #urine test
Mayo Clinic researchers developed and tested an artificial intelligence (AI) model that used results from a standard 24-hour urine test to predict kidney stone composition more accurately than a conventional urine-based calculation. Using the AI model, researchers correctly…