Developing AI tools to predict ovarian and endometrial cancer risk
Associated Factors of Ovarian Cancer and Endometrial Cancer in Indonesia. A Study for Developing Artificial-Intelligence-Based Screening Tools
This study is trying to find out what factors can help predict the risk of ovarian and endometrial cancer in women in Indonesia by using AI tools to improve screening methods.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 2905 (estimated) |
| Sex | Female |
| Sponsor | Hasanuddin University Academic / other |
| Locations | 1 site (Makassar, South Sulawesi) |
| Trial ID | NCT05697601 on ClinicalTrials.gov |
What this trial studies
This observational study aims to identify factors associated with ovarian and endometrial cancer in Indonesia and create artificial intelligence-based screening tools to predict the risk of these cancers. The study will be conducted in two stages: first, a cohort study to identify potential predictors, and second, the development of point-of-care testing using an AI model to assess cancer occurrence. Data will be collected from women undergoing gynecological assessments, focusing on demographic, clinical, and laboratory predictors. The ultimate goal is to enhance screening performance with high sensitivity and specificity.
Who should consider this trial
Good fit: Ideal candidates for this study are women experiencing gynecological symptoms or those undergoing routine gynecological examinations.
Not a fit: Patients who are unable to undergo serial gynecological follow-up may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved early detection of ovarian and endometrial cancers, potentially saving lives through timely intervention.
How similar studies have performed: While there have been studies exploring AI in cancer screening, this specific approach focusing on ovarian and endometrial cancers in Indonesia is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Women with gynaecological symptoms but not limited to 1. Irregular menstruation 2. Heavy bleeding during menstruation 3. pelvic pain 4. vaginal discharge 5. sudden weight loss 6. pain during sexual intercourse * Women who underwent routine gynaecological examination Exclusion Criteria: * unable to undergo serial gynaecological follow-up
Where this trial is running
Makassar, South Sulawesi
- Hasanuddin University Hospital — Makassar, South Sulawesi, Indonesia (Recruiting)
Study contacts
- Principal investigator: Bumi Herman, Ph.D — Chulalongkorn University
- Study coordinator: Bumi Herman, Ph.D
- Email: bumi.h@chula.ac.th
- Phone: +66638275008
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.