Infantile Hemangiomas Clinical Trial
Official title:
Computer Aided Tool for Diagnosis of Neck Masses in Children
The aim of this study was to evaluate the diagnostic efficacy of computer aided diagnostic tool for neck masses using machine learning and deep learning techniques on clinical information and radiological images in children.
Status | Recruiting |
Enrollment | 1500 |
Est. completion date | December 31, 2024 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A to 18 Years |
Eligibility | Inclusion Criteria: - Age up to 18 years old - Receiving no treatment before diagnosis - With written informed consent Exclusion Criteria: - Clinical data missing - Unavailable radiological images - Without written informed consent |
Country | Name | City | State |
---|---|---|---|
China | West China Hospital, Sichuan University | Chengdu | Sichuan |
Lead Sponsor | Collaborator |
---|---|
West China Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The diagnostic accuracy of neck masses with AI-based screening tools in children | The diagnostic accuracy of neck masses with AI-based screening tools in children. | 1 month | |
Secondary | The diagnostic sensitivity of neck masses with AI-based screening tools in children | The diagnostic sensitivity of neck masses with AI-based screening tools in children. | 1 month | |
Secondary | The diagnostic specificity of neck masses with AI-based screening tools in children | The diagnostic specificity of neck masses with AI-based screening tools in children. | 1 month | |
Secondary | The diagnostic positive predictive value of neck masses with AI-based screening tools in children | The diagnostic positive predictive value of neck masses with AI-based screening tools in children. | 1 month | |
Secondary | The diagnostic negative predictive value of neck masses with AI-based screening tools in children | The diagnostic negative predictive value of neck masses with AI-based screening tools in children | 1 month |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
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