Pure Global
NCT06317610

Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids

Development and Validation of Growth Prediction Model for Ovarian Cancer Organoids Based on Bright Field Image and Deep Learning
Chongqing University Cancer Hospital·ClinicalTrials.gov·otherRecruiting
View on ClinicalTrials.gov →
Study focus
Disease/Condition
Ovarian Cancer
Drug/Device/Intervention
growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI
Study type
Observational
Intervention type
other
Sponsor & location
Primary sponsor
Chongqing University Cancer Hospital
Location
Chongqing, China
Timeline & enrollment
Phase
N/A
Start date
Jan 01, 2022
End date
May 30, 2024
Enrollment
100 participants
Primary outcome

AUC of growth prediction performance using deep learning model,Accuracy of growth prediction using deep learning model

Summary

The present study aims to collect early bright field image of patient-derived organoids with
 ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and
 refine algorithms that able to predict growth of ovarian cancer organoids.

ICD-10 classifications
Malignant neoplasm of ovarySecondary malignant neoplasm of ovaryBenign neoplasm of ovaryOvarian pregnancyOvarian dysfunction
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06317610
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06317610 through Pure Global AI's free database. This phase not specified trial is sponsored by Chongqing University Cancer Hospital and is currently Recruiting. The study focuses on Ovarian Cancer. Target enrollment is 100 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.