The Privacy and Digital Transformation Chair (Microsoft-University of Valencia) organises this Monday, May 3 at 16 hours the first CafeterIA meeting, an initiative to generate an online space in which to talk about current issues between researchers and experts regarding Artificial intelligence (AI) and digital transformation. The event, on health and well-being, is dedicated to preventive prenatal medicine.
The meeting will last 45 minutes and can be followed via Microsoft Teams at the following link. María del Carmen Romero Ternero, full professor in the Department of Electronic Technology of the University of Seville will take part in this inaugural session; as well as Guillermo Antiñolo Gil, professor of the Department of Obstetrics and Gynaecology of the University of Seville and Head of the Reproduction Service of the Virgen del Rocío University Hospital; and also Pablo Fernández Berrocal, professor of the Department of Basic Psychology and Director of the Emotions Laboratory of the University of Málaga.
In the last decade, AI research applied to Health and Wellness has grown exponentially. In the context of medical research, prediction generally refers to diagnosis or prognosis. The prognosis applies not only to people who are ill or with an established diagnosis, but also, for example, to pregnant women at risk for diabetes or preeclampsia. Much of recent research on AI for the prevention of pregnancy disorders has focused on the application of machine learning. However, these works are by default a traditional medical diagnostic model in which predictive indices are based solely on patients’ biological factors.
Thus, these questions arise: could the predictions of models and algorithms be improved if, in addition to biological factors, psychological factors and social factors are taken into account?, do the models developed so far really provide new knowledge or simply learn what is the next most likely step between a set of possible actions that the doctor would perform in this situation?, what should change in the management of health services to avoid the various sources of bias in the electronic medical record?
The CafeterIA is an interdisciplinary and meeting space, open to dialogue and interaction between attendees that seeks to generate an agile online format for the dissemination of knowledge and scientific debate. Subsequent CafeterIA sessions will include topics such as the application of Artificial Intelligence to criminal judicial and police investigation. Also, the impact of digital transformation and Artificial Intelligence on European reconstruction and competitiveness or advances in the Human Brain Project.
More information on the website of the Privacy and Digital Transformation Chair.
