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Retrospective Study on the Direction of Artificial Intelligence in Identifying Cranial Trauma CT Imaging

NCT06230419 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 208

Last updated 2024-01-30

No results posted yet for this study

Summary

The goal of this observational retrospective study is to evaluate artificial intelligences (AI)'s proficiency in identifying and annotating brain bleeds in computed tomography (CT) images.

The main questions it aims to answer are:

* Whether AIs at present are capable of analyzing and recognizing cerebral traumas in CT images?
* If they are, how competent are they and how can humans take advantages of that? CT images were selected during the normal diagnosis and treatment process of patients, and no one needed to undergo any additional procedures connected to the study.

Conditions

  • Cerebral Hemorrhage

Sponsors & Collaborators

  • RenJi Hospital

    lead OTHER

Eligibility

Min Age
16 Years
Max Age
92 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-01
Primary Completion
2024-02-15
Completion
2024-03-01

Countries

  • China

Study Locations

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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 NCT06230419 on ClinicalTrials.gov