Clinical Performance Evaluation of AI-Enabled Automated Gram Staining Device

November 30, 2023 updated by: GramEye
The investigators have developed an analysis AI for Gram staining. In this study, the investigators will compare the testing accuracy of automated Gram staining equipment with AI with the testing accuracy of laboratory technicians. Based on the results, the investigators will examine the possibility of clinical application of the automated Gram staining device.

Study Overview

Status

Not yet recruiting

Detailed Description

Gram staining,whitch provides crucial information for selecting antibiotics in the diagnosis and treatment of infectious diseases, is often manually performed in many laboratories, and the microscopic findings are subjectively interpreted and reported based on the experience of laboratory technicians. Automating the entire process from staining to microscopic examination, as achieved by the AI-equipped automatic Gram staining device, can reduce the labor required for Gram staining. This automation enables even less experienced technicians to quickly report Gram staining results.

The aim of this study is to evaluate the accuracy of the Auto microscopic examination of Gram-stained samples using anonymized processed slides created from clinical specimens. This evaluation will be compared with the accuracy of microscopic examinations performed by hospital laboratory technicians.

If the accuracy of the machine is demonstrated, it can be registered as a medical device and proceed to the implementation stage in actual clinical settings. The implementation of this device in clinical laboratories is expected to reduce workload, expedite processes, and contribute to the optimization of antibiotic use based on Gram staining results.

Study Type

Observational

Enrollment (Estimated)

1600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Specimens for microbiological testing, such as Gram staining, ordered at the hospital providing the specimens.

Description

Inclusion Criteria:

1. Patients in whom a Gram stain test was ordered

Exclusion Criteria:

No exclusion criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Primary Outcome
Time Frame: Day 1
The difference in accuracy rates between the Gram staining examination performed by laboratory technicians and the automated Gram staining device, including the approximate bacterial quantity based on Gram staining and morphology (categorized as -, 1+, 2+, 3+, 4+), presence of white blood cells, presence of phagocytic images, and, in the case of sputum, the Geckler classification.
Day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Secondary Outcome
Time Frame: Day 1
Impact of specimen type and identified bacterial species on testing accuracy.
Day 1

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Exploratory evaluation items
Time Frame: Day 1
The difference in accuracy rates of microscopic examination findings by technicians at each facility based on the technicians' years of experience.
Day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Yoshifumi UwaminoUwamino, Ph.D., Assistant professor, Keio University hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 10, 2024

Primary Completion (Estimated)

June 30, 2024

Study Completion (Estimated)

December 31, 2024

Study Registration Dates

First Submitted

November 16, 2023

First Submitted That Met QC Criteria

November 16, 2023

First Posted (Actual)

November 22, 2023

Study Record Updates

Last Update Posted (Actual)

December 6, 2023

Last Update Submitted That Met QC Criteria

November 30, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • K22581

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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