| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
John Lieske, M.D., explains why it's now easier for clinicians to pull information from Mayo Clinic Laboratories' supersaturation test report. An updated format summarizes complex information to help guide the treatment of kidney stones.
Since March 2019, Paul Jannetto, Ph.D., director of the Metals Laboratory at Mayo Clinic, along with his colleagues across the enterprise and his laboratory staff, have developed, validated, and implemented an artificial intelligence (AI)-augmented test with algorithms designed to interpret kidney stone FTIR spectra. With more than 90,000 kidney stones analyzed each year at Mayo Clinic, this new AI-assisted test has streamlined lab processes and improved patient care.
In this “Hot Topic,” Paul Jannetto, Ph.D., highlights Mayo Clinic Laboratories’ AI-augmented kidney stone test and discusses the proper procedures for collecting and processing kidney stones to provide accurate, cost-effective analysis of patients’ kidney stones in a timely manner.