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| Name | Class |
|---|---|
| Keio University | OTHER |
| Kameda Medical Center | OTHER |
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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Rate of concordance between AI-estimated results with actual culture results regarding urine Gram stain specimens | 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. | Day1 |
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Inclusion Criteria:
Exclusion Criteria:
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Specimens that have undergone urine culture and urine Gram staining for clinical purposes will be included.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Tatsuya Yamada, M.D. | Contact | 7028060149 | tatsuya.yamada@grameye.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Keio University Hospital | Recruiting | Shinjuku-Ku | Tokyo | 1608582 | Japan |
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| ID | Term |
|---|---|
| D001424 | Bacterial Infections |
| ID | Term |
|---|---|
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
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Sputum and other specimen used for microbiologic testing