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Evaluation of Clinical Decision Support System for Scoring of ASPECT Score Using Brain CT Images

NCT04983927 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 326

Last updated 2022-01-14

No results posted yet for this study

Summary

cASPECTS is a software that has been pre-learned based on ASPECTS Score of ischemic stroke patients using brain CT images, and clinical decision support system for scoring ASPECTS score by automatically analyzing brain CT images by assisting the medical team.

The specific aims of this study are to evaluate efficacy of cASPECTS for scoring ASPECTS Score compared to the sensitivity and specificity levels of human expert.

Conditions

Interventions

DEVICE

cASPECTS

Clinical decision support system for scoring ASPECTS score

Sponsors & Collaborators

  • Heuron Inc.

    lead INDUSTRY

Principal Investigators

  • Daehan Choi · Gachon University Gil Medical Center

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-08-11
Primary Completion
2021-12-06
Completion
2021-12-06

Countries

  • South Korea

Study Locations

More Related Trials

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 NCT04983927 on ClinicalTrials.gov