Establishment and Clinical Application of AI-based Multimodal Diagnosis System for Ovarian Tumors

Launched by BEIJING SHIJITAN HOSPITAL, CAPITAL MEDICAL UNIVERSITY · Nov 20, 2024

Keywords

ClinConnect Summary

This clinical trial is focused on improving the diagnosis of ovarian tumors, which are a serious health concern for women. Researchers are developing an advanced system that uses artificial intelligence (AI) to analyze various types of medical data, including ultrasound and MRI images, as well as laboratory results. The goal is to create a tool that can accurately predict the different types of ovarian tumors, helping doctors make better treatment decisions and improve patient outcomes.

To participate in this trial, women who are preparing for surgery due to a suspected ovarian tumor may be eligible, provided they have complete imaging and tumor marker data collected within the last three months. Participants will need to give their consent to join the study. The trial is not yet actively recruiting participants, but once it begins, those who take part can expect to contribute to a significant advancement in ovarian tumor diagnosis, which could ultimately benefit many women facing this condition.

Gender

FEMALE

Eligibility criteria

• Inclusion Criteria:
• • 1. Continuous cases admitted for diagnosis of ovarian tumor and preparation for surgical treatment;
• • 2. Complete imaging data (ultrasound or MRI) and tumor marker results within 3 months before surgery;
• • 3. Voluntarily sign informed consent.
• Exclusion Criteria:
• • 1. Patients with non-ovarian origin tumor as surgical pathology;
• • 2. Repetitive cases;
• • 3. Cases receiving radiotherapy and chemotherapy;
• • 4. Recurrent cases; 5. Poor image quality of ovarian lesions;