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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorGramEye

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

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

Disqualifiers

Samples for which suspension of use has been requested

Trial population

Specimens that have undergone urine culture and urine Gram staining for clinical purposes will be included.

Trial design

Design model

Case-only

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

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.

Time frame
Day1

Secondary outcomes

Other outcomes

Locations

1

Map coordinates are unavailable for these locations. Locations are shown below instead.

Keio University HospitalRecruiting1608582, Shinjuku-Ku, TokyoJapanJapan

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

GramEye

Lead sponsor

Keio University

Collaborator

Kameda Medical Center

Collaborator