Pure Global AI
NCT06342622Completed

Young-onset Colorectal Cancer Screening Based on Artificial Intelligence

Application of Artificial Intelligence for Young-onset Colorectal Cancer Screening Based on Electronic Medical Records
Renmin Hospital of Wuhan UniversityClinicalTrials.govdiagnostic test
Verified
Study focus
Disease/Condition
Colorectal Cancer
Drug/Device/Intervention
Using routine clinical data and machine learning models.
Study type
Observational
Intervention type
diagnostic test
Sponsor & location
Primary sponsor
Renmin Hospital of Wuhan University
Location
Wuhan, China
Timeline & enrollment
Phase
N/A
Start date
Dec 01, 2023
End date
Jan 25, 2024
Enrollment
11000 participants
Primary outcome

The performance of machine learning screening models

Summary

In this study, we aimed to develop, internally and temporally validate the machine learning
 models to help screen YOCRC bansed on the retrospective extracted Electronic Medical Records
 (EMR) data.

ICD-10 classifications
Malignant neoplasm of colonMalignant neoplasm: Descending colonMalignant neoplasm: Colon, unspecifiedMalignant neoplasm: Ascending colonMalignant neoplasm: Overlapping lesion of colon
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06342622
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06342622 through Pure Global AI's free database. This phase not specified trial is sponsored by Renmin Hospital of Wuhan University and is currently Completed. The study focuses on Colorectal Cancer. Target enrollment is 11000 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.