AI model for detecting cervical cancer from colposcopy images
Development and Evaluation of an Artificial Intelligence Model for Cervical Cancer Detection From Colposcopic Images
This study is testing a new AI tool that looks at colposcopy images to see if it can help doctors find cervical cancer more accurately and easily, especially in places with fewer resources.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Ages | 18 Years and up |
| Sex | Female |
| Sponsor | Bangladesh University of Engineering and Technology Academic / other |
| Locations | 1 site (Dhaka) |
| Trial ID | NCT06644248 on ClinicalTrials.gov |
What this trial studies
This study aims to develop and evaluate an artificial intelligence (AI) model that analyzes colposcopic images to improve the detection of cervical cancer. Conducted at Ibn Sina Medical College Hospital in Dhaka, Bangladesh, the study utilizes both prospective and retrospective case-control methodologies. The goal is to enhance the accuracy and efficiency of cervical cancer screening, particularly in low-resource settings, by automating the analysis process and reducing reliance on trained personnel. The study will curate a comprehensive dataset of colposcopy images and validate the AI model's performance in clinical workflows to ensure its effectiveness as a decision support tool.
Who should consider this trial
Good fit: Ideal candidates for this study are women aged 18 years or older who are willing to participate in cervical cancer screening and have no history of cervical cancer or hysterectomy.
Not a fit: Patients who may not benefit from this study include pregnant women and individuals with severe medical conditions that make colposcopic examination inappropriate.
Why it matters
Potential benefit: If successful, this AI model could significantly improve early detection of cervical cancer, leading to better treatment outcomes and reduced mortality rates.
How similar studies have performed: Other studies have shown promise in using AI for medical image analysis, suggesting that this approach could be effective, though this specific application is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Female patients of age 18 years or older can be selectedas subjects. * Individuals willing to participate in cervical cancerscreening. * Availability for colposcopic examination. * Women with no history of hysterectomy (total removalof the uterus). * Women with no current or prior diagnosis of cervicalcancer. * Availability of relevant medical records forconfirmation and comparison purposes. Exclusion Criteria: * Pregnant women, given the potential impact onscreening results and the need for specialconsiderations during pregnancy. * Individuals with severe medical conditions orcircumstances that may make colposcopic examinationinappropriate or unsafe. * Patients with conditions that could interfere with theaccuracy of the screening results, such as severevaginal bleeding. * Follow-up screenings.
Where this trial is running
Dhaka
- Ibn Sina Medical College Hospital — Dhaka, Bangladesh (Recruiting)
Study contacts
- Principal investigator: Taufiq Hasan, Taufiq — Department of Biomedical Engineering, BUET, Dhaka - 1205.
- Study coordinator: Taufiq Hasan, PhD
- Email: taufiq@bme.buet.ac.bd
- Phone: +8801817579844
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.