Retrospective Study on the Direction of Artificial Intelligence in Identifying Cranial Trauma CT Imaging
Evaluation of Artificial Intelligence's Ability to Analyze and Recognize Cranial Trauma CT Imaging
1 other identifier
observational
208
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2023
CompletedFirst Submitted
Initial submission to the registry
January 8, 2024
CompletedFirst Posted
Study publicly available on registry
January 30, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 15, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2024
CompletedJanuary 30, 2024
January 1, 2024
6 months
January 8, 2024
January 29, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The identification completeness of the annotated images.
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.
1 months
Secondary Outcomes (1)
The evaluations from professionals for outcomes produced by AIs
1 months
Study Arms (1)
The cerebral trauma group
Eligibility Criteria
The study population ranges from 16 years old to 92 years old, both female and male, who mostly are the elderly.
You may qualify if:
- People who had cerebral traumas with brain bleedings shown in CT images.
You may not qualify if:
- Brain bleedings were not clear or representative in CT images.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- RenJi Hospitallead
Study Sites (1)
Brain Injury Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University
Shanghai, Shanghai Municipality, 201114, China
Related Publications (1)
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.
PMID: 39326037DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director of Brain Injury Center
Study Record Dates
First Submitted
January 8, 2024
First Posted
January 30, 2024
Study Start
September 1, 2023
Primary Completion
February 15, 2024
Study Completion
March 1, 2024
Last Updated
January 30, 2024
Record last verified: 2024-01