The Artificial Intelligence implementation of Swede Score estimation using mobile colposcopes
| Reference number | |
| Coordinator | Gynius Plus AB |
| Funding from Vinnova | SEK 2 000 000 |
| Project duration | April 2024 - September 2025 |
| Status | Ongoing |
| Venture | Swelife - Collaboration project for better health |
| Call | Swelife - Collaborative projects for better health autumn 2023 |
Purpose and goal
We aim to develop and validate an automatic image analysis tool that enables more secure and reliable diagnostic in distinguishing lesions that can lead to cervical cancer from benign lesions.
Expected effects and result
In this project a software tool will be developed based on state-of-the-art machine learning methods which will help medical personel analyze images that are taken by the Gynius developed handheld colposcopes named Gynocular. The software will be developed and validated both on data that has been gathered in the field of the cervical cancer screening sessions in developing countries.
Planned approach and implementation
This project will be carried out with the collaboration of Gynius, Stiftelsen Chalmers Industriteknik and Elekta Foundation. Also, gynecologists will participate as experts in evaluating the developed methods. Gynius has been developing medtech devices for use in the field of cervical cancer for a decade and will lead the management of the project.