Our project reaches its conclusion: Get an overview of the project outcomes and the future of the learning program in the 6th AIIS newsletter!

Authors: Vasiliki Softa, Ira Alevra

The University of Thessaly in collaboration with the Department of Medical Physics participates in the consortium of the project "AIIS: Artificial Intelligence, Innovation and Society" where with the collaboration of Higher Education Institutions and specialized companies in the field of technology from 5 European countries, a new perspective is formed for studies and a career in the field of Medicine. The project, with a total duration of three years, is funded by the European Education, Audiovisual and Culture Executive Agency (EACEA) and aims to create an educational training program in Artificial Intelligence and Social Skills specially designed for medical students and taking into account the current needs of branch in Spain, Finland, Greece, the Netherlands and Belgium.

Most artificial intelligence applications focus on optimizing their predictions. However, machine learning algorithms should not be focused solely on accuracy but should be evaluated with respect to how they might impact disparities in patient outcomes. AI researchers must explore ways to reduce machine learning bias in healthcare or explain how to create algorithms that specifically alleviate inequalities

To prevent artificial intelligence (AI) from encoding the disparities that exist, algorithms should predict an outcome as if the world were fair.

AI is increasingly present in hospital environments: applications for the automatic segmentation of medical images, algorithms to predict pathologies, hospital readmission or mortality are some of these examples. However, these models are susceptible to failure if they are not periodically reviewed. It is something similar to what we would do with our car after many kilometers of use, an overhaul or more specifically: quality control.