Development and Evaluation of an Artificial Intelligence Tool for Colposcopy Assistance

Due to the increase in the number of colposcopies following changes in recommendations regarding cervical cancer screening, the investigators wondered about the benefit of assistance provided by the computer tool. Several teams have already developed algorithms to aid in the interpretation of colposcopy, but the studies were carried out in countries that do not have the colposcopic expertise of French practitioners, and no algorithm has has demonstrated its effectiveness to our knowledge, the different results being inhomogeneous. The investigators therefore wanted to develop an algorithm to aid colposcopy based on clinical cases carried out by practitioners considered experts, then evaluate its effectiveness. The investigators manually collect data concerning adult patients who underwent colposcopy by an expert doctor at La Pitié-Salpêtrière between September 1, 2022 and December 31, 2023, for whom the photographs of the colposcopic examination (without staining, after acid acetic and after Lugol) are available and usable and for which the clinical context is known. If a biopsy has been performed, the histological result is considered the gold standard. If this is not the case (normal and satisfactory colposcopy), the investigators consider by default that the histology is normal. The investigators excluded all patients for whom photographs were of poor quality or unavailable. Development of the algorithm with the help of a computer science student, aiming to answer the following 2 questions: * assumed histological result * localization of the targeted biopsy if necessary Evaluation of the algorithm: use of the algorithm for new cases, then comparison of the results obtained with the response given by expert clinicians (reading of images by 2 colposcopists). The aim will be to highlight the non-inferiority of the algorithm.