Clinical trial · Observational
Development and Evaluation of an Artificial Intelligence Tool for Colposcopy Assistance
NCT06208319CI-TRIAL-00073532IACOLunknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Project aiming to develop an algorithm to help the interpretation of colposcopy images, then to evaluate the effectiveness of this algorithm by using it on new cases and comparing the results obtained to the impression of expert clinicians
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cervical Cancer | Malignant Cervical Neoplasm | CURATED_EXACT | 0.92 |
| Cervical Ectropion | — | UNRESOLVED | — |
| HSIL | High Grade Squamous Intraepithelial Neoplasia | ALIAS | 0.90 |
| LSIL | Low Grade Squamous Intraepithelial Neoplasia | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| data collection | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Development of an algorithm to help interpret colposcopy images
- timeFrame
- 4 month after inclusion
- description
- Creation of an imaging database with correlation to clinical and histological data, using data from care at the Pitié-Salpêtrière Hospital. A hundred cases will be selected for the study from the hundreds available in the department. Annotation of colposcopy photos according to the recommendations of the French Society of Colposcopy and Cervico Vaginal Pathology (SFCPCV), then correlation with histological data. Development of an algorithm for recognizing and analyzing colposcopy photos, with the help of a computer science student, using the analyzed data.
Secondary outcomes (1)
- measure
- Evaluate the effectiveness of this algorithm
- timeFrame
- 4 month after inclusion
- description
- Comparison of algorithm correlation rate to histological data with clinician correlation rate to histological data
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Adult patients who underwent colposcopy with directed biopsies at La Pitié-Salpêtrière between September 1, 2022 and December 31, 2023 2. Known clinical context (why the patient underwent colposcopy) 3. Histological results of cervical biopsies (+/- conization or even hysterectomy) known 4. Images available (photographs of the cervix without preparation, after application of acetic acid and after application of lugol) 5. Informed of the study and not opposing the use of their data Exclusion Criteria: * Patients who do not speak French
References
Publications (0)
Data not yet available
No reference posted for this study.