AI Used to Better Predict Kidney Stone Composition

AI used to better predict kidney stone composition

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 predicted kidney stone composition in 73% of patients, compared with 33% using the conventional calculation alone.

Mayo Clinic AI predicts kidney stones better than standard method

Researchers say the AI model correctly predicted kidney stone composition in 73% of patients, compared with 33% using the conventional calculation alone.

AI could help doctors identify kidney stones more accurately

Mayo Clinic researchers have developed an artificial intelligence tool that may help doctors identify what kidney stones are made of, even when the stones cannot be collected for testing. In a study, the tool correctly predicted the main stone type for 73% of patients, compared with 33% using a traditional urine-based calculation. Kidney stones are […]