Clinical Performance Evaluation of AI-Enabled Automated Gram Staining Device
The investigators have developed an analysis AI for Gram staining. In this study, the investigators will compare the testing accuracy of automated Gram staining equipment with AI with the testing accuracy of laboratory technicians. Based on the results, the investigators will examine the possibility of clinical application of the automated Gram staining device.
Development and Evaluation of AI Program for Predicting Bacterial Species From Urine Gram Stain Specimens
The purpose of this research is to develop an AI that estimates bacterial species from Gram staining images of urine specimens, and to evaluate the accuracy and labor reduction effect of Gram staining Automation system equipped with this AI.
Development and Evaluation of Rapid Bacterial Species Identification for Acid-Fast Bacilli Smear Using Image Analysis AI
The goal of this observational study is to develop AI that detects and classifies Acid-Fast Bacilli from microscope images using anonymized and fixed glass slides.
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