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Young-onset Colorectal Cancer Screening Based on Artificial Intelligence

NCT06342622 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 11000

Last updated 2024-04-02

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Using routine clinical data and machine learning models.

This study used clinical data and machine learning model to screen young-onset colorectal cancer.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Dong Weiguo, PhD · Renmin Hospital of Wuhan University

Eligibility

Min Age
18 Years
Max Age
49 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-12-01
Primary Completion
2024-01-10
Completion
2024-01-25

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06342622 on ClinicalTrials.gov