Bacterial Infections
Conditions
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
Kameda Medical Center
GramEye
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
| Measure | Time frame | Description |
|---|---|---|
| Rate of concordance between AI-estimated results with actual culture results regarding urine Gram stain specimens | Day1 | Evaluate 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.
Outcome results
None listed