Feasibility study for the development of a remote and real-time diagnostic system for cytological samples of fixed cervicovaginal smears (PAPs) assisted by Artificial Intelligence
Photo Credit: Feepik
Overview
Led by the Center for Artificial Intelligence and Health for Latin America and the Caribbean, the project is developing the first AI-assisted feasibility analysis for cervical cancer diagnosis grounded in national data. The solution works across two interconnected tracks: building an extensive digital image bank from biological samples archived at the Pathology Department of Bernardino Rivadavia Hospital in Buenos Aires, and integrating those images into an anonymised, multimodal database that combines visual data with patient information such as age, prior screenings, HPV test results, and degree of social vulnerability.
The resulting model is designed to streamline and standardise diagnostic analysis and connect directly with Argentina's National Ministry of Health screening system enabling data collection that can shape public policy on cervical cancer treatment and prevention at scale.