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Studies

Observational Not yet recruiting

NCT06208319 on ClinicalTrials.gov

Development and Evaluation of an Artificial Intelligence Tool for Colposcopy Assistance

  • Sponsor: Assistance Publique - Hôpitaux de Paris
  • Collaborators: Sorbonne University
  • Enrollment: 1000 (Estimated)
  • Study start: 2024-03-01 (Estimated)
  • Primary completion: 2024-10-31 (Estimated)
  • Study completion: 2024-10-31 (Estimated)
  • Allocation: N/a
  • InterventionModel: N/a
  • Masking: None
  • PrimaryPurpose: Other

Brief Summary

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

  • Cervical Cancer
  • HSIL
  • LSIL
  • Cervical Ectropion

Intervention / Treatment

  • Other: data collection

Primary Outcome Measures

  • Development of an algorithm to help interpret colposcopy images (4 month after inclusion)
    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.