Retrospective Study on the Direction of Artificial Intelligence in Identifying Cranial Trauma CT Imaging
NCT ID: NCT06230419
Last Updated: 2024-01-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
208 participants
OBSERVATIONAL
2023-09-01
2024-03-01
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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OTHER
RETROSPECTIVE
Study Groups
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The cerebral trauma group
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
16 Years
92 Years
ALL
No
Sponsors
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RenJi Hospital
OTHER
Responsible Party
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Junfeng Feng
Director of Brain Injury Center
Locations
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Brain Injury Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University
Shanghai, Shanghai Municipality, China
Countries
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References
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Zhang D, Ma Z, Gong R, Lian L, Li Y, He Z, Han Y, Hui J, Huang J, Jiang J, Weng W, Feng J. Using Natural Language Processing (GPT-4) for Computed Tomography Image Analysis of Cerebral Hemorrhages in Radiology: Retrospective Analysis. J Med Internet Res. 2024 Sep 26;26:e58741. doi: 10.2196/58741.
Other Identifiers
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83760142
Identifier Type: -
Identifier Source: org_study_id
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