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Development and Evaluation of AI Program for Predicting Bacterial Species From Urine Gram Stain Specimens

Development and Evaluation of AI Program for Predicting Bacterial Species From Urine Gram Stain Specimens

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06554145
Enrollment
15000
Registered
2024-08-15
Start date
2023-09-25
Completion date
2028-08-31
Last updated
2024-08-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bacterial Infections

Brief summary

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.

Interventions

None listed

Sponsors

Keio University
CollaboratorOTHER
Kameda Medical Center
CollaboratorOTHER
GramEye
Lead SponsorINDUSTRY

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Specimens for which urine culture and urine Gram staining tests were performed for clinical purposes

Exclusion criteria

* Samples for which suspension of use has been requested

Design outcomes

Primary

MeasureTime frameDescription
Rate of concordance between AI-estimated results with actual culture results regarding urine Gram stain specimensDay1Evaluate the concordance rate between bacterial species estimation results and culture results obtained using the automatic Gram staining device with an AI program installed for analyzing urine Gram stain specimens.

Countries

Japan

Contacts

Primary ContactTatsuya Yamada, M.D.
tatsuya.yamada@grameye.com7028060149

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026