NCT06230419
Active, not recruiting
Not Applicable
Evaluation of Artificial Intelligence's Ability to Analyze and Recognize Cranial Trauma CT Imaging
ConditionsCerebral Hemorrhage
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Cerebral Hemorrhage
- Sponsor
- RenJi Hospital
- Enrollment
- 208
- Locations
- 1
- Primary Endpoint
- The identification completeness of the annotated images.
- Status
- Active, not recruiting
- Last Updated
- 2 years ago
Overview
Brief 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.
Investigators
Junfeng Feng
Director of Brain Injury Center
RenJi Hospital
Eligibility Criteria
Inclusion Criteria
- •People who had cerebral traumas with brain bleedings shown in CT images.
Exclusion Criteria
- •Brain bleedings were not clear or representative in CT images.
Outcomes
Primary Outcomes
The identification completeness of the annotated images.
Time Frame: 1 months
Use Photoshop to calculate the area of hemorrhage and the marked area, and then computing the ratio, import into Graphpad Prism for further analysis of the mean percentage and the standard deviation.
Secondary Outcomes
- The evaluations from professionals for outcomes produced by AIs(1 months)
Study Sites (1)
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