Measuring the operational performance of an artificial intelligence–based blood tube-labeling robot, NESLI
Ferhat Demirci
Abstract:Objectives
Laboratory testing, crucial for medical diagnosis, has 3 phases: preanalytical, analytical, and postanalytical. This study set out to demonstrate whether automating tube labeling through artificial intelligence (AI) support enhances efficiency, reduces errors, and improves outpatient phlebotomy services.
Methods
The NESLI tube-labeling robot (Labenko Informatics), which uses AI models for tube selection and handlin… Show more
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