AI program predicts bacterial species from urine Gram stain specimens

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This research aims to develop an artificial intelligence program that can accurately identify bacterial species from images of Gram-stained urine specimens. The study will evaluate the effectiveness of this AI in improving the accuracy of bacterial identification and reducing the labor involved in the Gram staining process. By automating this aspect of microbiological analysis, the study seeks to enhance diagnostic efficiency in clinical settings.

Why it matters

Who can join: the full rules

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

Where it's running

• Keio University Hospital
  Shinjuku-Ku, Tokyo, Japan Recruiting

Study contacts

• Study coordinator: Tatsuya Yamada, M.D.
• Email: tatsuya.yamada@grameye.com
• Phone: 7028060149

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.