Artificial Intelligence for Kidney Stone Spectra Analysis: Using Artificial Intelligence Algorithms for Quality Assurance in the Clinical Laboratory

Day, Patrick L.; Erdahl, Sarah; Rokke, Denise L.; Wieczorek, Mikolaj; Johnson, Patrick W.; Jannetto, Paul J.; Bornhorst, Joshua A.; Carter, Rickey E.

doi:10.1016/j.mcpdig.2023.01.001

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Artificial Intelligence for Kidney Stone Spectra Analysis: Using Artificial Intelligence Algorithms for Quality Assurance in the Clinical Laboratory

Cited by 5 publications

References 17 publications

Artificial Intelligence in Urology: Application of a Machine Learning Model to Predict the Risk of Urolithiasis in a General Population

Artificial Intelligence in Urology: Application of a Machine Learning Model to Predict the Risk of Urolithiasis in a General Population

Assessment of Sigma Error Metrics Associated with Manual Secondary Result Review and Subsequent Artificial Intelligence-Driven Quality Assurance Review—Application to Kidney Stone Analysis

Evaluation and Classification of Kidney Stone Detection Using Deep Learning Techniques

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