Evaluating AI for Gram Staining Analysis
Development and Accuracy Evaluation of Gram Staining Analysis AI
GramEye · NCT06377592
This study is testing a new artificial intelligence tool to see if it can help doctors more accurately identify bacterial infections from lab samples.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 18000 (estimated) |
| Sex | All |
| Sponsor | GramEye (industry) |
| Locations | 1 site (Suita, Osaka) |
| Trial ID | NCT06377592 on ClinicalTrials.gov |
What this trial studies
This study focuses on developing and assessing the accuracy of an artificial intelligence system designed to analyze Gram-stained specimens collected from clinical settings. By utilizing samples from patients who have undergone Gram stain testing, the researchers aim to enhance the diagnostic capabilities of bacterial infection identification. The approach is observational, meaning it will analyze existing data without any direct intervention on the patients. The goal is to improve the efficiency and accuracy of bacterial infection diagnostics through advanced technology.
Who should consider this trial
Good fit: Ideal candidates for this study are patients for whom a Gram stain test has been ordered.
Not a fit: Patients who have not undergone a Gram stain test will not benefit from this study.
Why it matters
Potential benefit: If successful, this AI system could significantly improve the speed and accuracy of diagnosing bacterial infections, leading to better patient outcomes.
How similar studies have performed: While the use of AI in medical diagnostics is a growing field, this specific application of AI for Gram staining analysis is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients in whom a Gram stain test was ordered Exclusion Criteria: * No exclusion criteria
Where this trial is running
Suita, Osaka
- Osaka University Hospital — Suita, Osaka, Japan (RECRUITING)
Study contacts
- Study coordinator: Tatsuya Yamada, M.D.
- Email: tatsuya.yamada@grameye.com
- Phone: 7028060149
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Bacterial Infections