- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06143657
Clinical Performance Evaluation of AI-Enabled Automated Gram Staining Device
Study Overview
Status
Conditions
Intervention / Treatment
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.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Yamada Tatsuya, M.D.
- Phone Number: 7028060149
- Email: tatsuya.yamada@grameye.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
1. Patients in whom a Gram stain test was ordered
Exclusion Criteria:
No exclusion criteria
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Primary Outcome
Time Frame: Day 1
|
The difference in accuracy rates between the Gram staining examination performed by laboratory technicians and the automated Gram staining device, including the approximate bacterial quantity based on Gram staining and morphology (categorized as -, 1+, 2+, 3+, 4+), presence of white blood cells, presence of phagocytic images, and, in the case of sputum, the Geckler classification.
|
Day 1
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Secondary Outcome
Time Frame: Day 1
|
Impact of specimen type and identified bacterial species on testing accuracy.
|
Day 1
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Exploratory evaluation items
Time Frame: Day 1
|
The difference in accuracy rates of microscopic examination findings by technicians at each facility based on the technicians' years of experience.
|
Day 1
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Yoshifumi UwaminoUwamino, Ph.D., Assistant professor, Keio University hospital
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- K22581
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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