Author

Denise L. Rokke

Observed names: D Rokke, Denise Rokke

Institution: Mayo Clinic

Observed institution: Mayo Clinic

OpenAlex ID: A5019946239

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

2023 · Patrick L. Day, Sarah Erdahl, et al. · Mayo Clinic Proceedings Digital Health · 16

An Unusual Foreign Body in the Urinary Bladder Mimicking a Parasitic Worm

2012 · Bryan H. Schmitt, Marc T. Feder, et al. · Journal of Clinical Microbiology · 10

Uncovering a Novel Stone in 27 Patients: Calcium Tartrate Tetrahydrate

2019 · Colin Kleinguetl, James C. Williams, et al. · Urology · 9

Urinary reference intervals for gadolinium in individuals without recent exposure to gadolinium-based contrast agents

2019 · Joshua Bornhorst, Peter Wegwerth, et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 5

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

2023 · Joshua Bornhorst, Denise Rokke, et al. · Clinical Chemistry · 3

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

2024 · Patrick L Day, Denise Rokke, et al. · The Journal of Applied Laboratory Medicine · 2

Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining

2026 · Patrick L Day, Mikolaj A Wieczorek, et al. · Clinical Chemistry

B-122 Estimated Improvement of Sigma Error Metrics Associated with Manual Secondary Result Review, and Subsequent Artificial Intelligence Driven Quality Assurance

2023 · J Bornhorst, D Rokke, et al. · Clinical Chemistry

Works count: 8

Citation count: 45

H-index: 4

I10-index: 2