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UnknownNCT06143657

Clinical Performance Evaluation of AI-Enabled Automated Gram Staining Device

Status
Unknown
Phase
Study type
Observational
Enrollment
1,600 (estimated)
Sponsor
GramEye · Industry
Sex
All
Age
Healthy volunteers
Not accepted

Summary

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.

Detailed description

Gram staining,whitch provides crucial information for selecting antibiotics in the diagnosis and treatment of infectious diseases, is often manually performed in many laboratories, and the microscopic findings are subjectively interpreted and reported based on the experience of laboratory technicians. Automating the entire process from staining to microscopic examination, as achieved by the AI-equipped automatic Gram staining device, can reduce the labor required for Gram staining. This automation enables even less experienced technicians to quickly report Gram staining results. The aim of this study is to evaluate the accuracy of the Auto microscopic examination of Gram-stained samples using anonymized processed slides created from clinical specimens. This evaluation will be compared with the accuracy of microscopic examinations performed by hospital laboratory technicians. If the accuracy of the machine is demonstrated, it can be registered as a medical device and proceed to the implementation stage in actual clinical settings. The implementation of this device in clinical laboratories is expected to reduce workload, expedite processes, and contribute to the optimization of antibiotic use based on Gram staining results.

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTAutomated Gram Staining Machine analysisMeasure urine and sputum specimens using this device.

Timeline

Start date
2024-01-10
Primary completion
2024-06-30
Completion
2024-12-31
First posted
2023-11-22
Last updated
2023-12-06

Source: ClinicalTrials.gov record NCT06143657. Inclusion in this directory is not an endorsement.