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Evaluation of Clinical Decision Support System for Large Vessel Occlusion Using Brain CT Images

NCT05572619 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 479

Last updated 2022-10-07

No results posted yet for this study

Summary

cELVO is a software that has been pre-learned based on a large vessel occlusion diagnosis model using brain CT images, and clinical decision support system for diagnosing large vessel occlusion by automatically analyzing brain CT images by assisting the medical team.

The specific aims of this study are to evaluate efficacy of cELVO compared to the sensitivity and specificity levels of medical team to diagnosis with and without cELVO used.

Conditions

Interventions

DEVICE

1st Reading

The medical team visually checks the non-contrast CT without cELVO and diagnose the large vessel occlusion.

DEVICE

2nd Reading

The medical team visually checks the non-contrast CT with assistance from the cELVO and diagnose the large vessel occlusion.

Sponsors & Collaborators

  • Heuron Inc.

    lead INDUSTRY

Principal Investigators

  • Myeong Jin Kim, M.D.pH.D · Gachon University Gil Medical Center

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-22
Primary Completion
2022-09-08
Completion
2022-09-08

Countries

  • South Korea

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05572619 on ClinicalTrials.gov