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AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.

Autor: Day PL; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Rokke D; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Schneider L; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Abbott J; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Holmen B; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Johnson P; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.; Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States., Wieczorek MA; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.; Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States., Kunze KL; Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States.; Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, United States., Carter RE; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.; Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States., Bornhorst J; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States., Jannetto PJ; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.

Publikováno v: The journal of applied laboratory medicine [J Appl Lab Med] 2024 Dec 19. Date of Electronic Publication: 2024 Dec 19.