Medical Diagnosis using Artificial Intelligence – Application to Retinal Images

José Sigut Saavedra, from University of La Laguna, will offer the last talk scheduled so far on June 19, “Medical Diagnosis using Artificial Intelligence – Application to Retinal Images”. In his dissertation, he will explain how artificial intelligence can help the medical specialist make a better diagnosis and detect a pathology at a more incipient stage.

In this case, the main focus will be on retinal images which contain very useful information for the diagnosis of eye conditions such as diabetic retinopathy, glaucoma or age-related macular degeneration, among others. This type of diseases can become a major public health problem. Specifically, in the Canary Islands the rate of diabetics is quite high and it is necessary to control the effect that this may have on the retina.

Jose Sigut graduated in Physics from the University of La Laguna in 1993 and received his PhD from the same university in 2002. He is currently Associate Professor at the Department of Computer and Systems Engineering and head of the multidisciplinary group MIAG (Medical Image Analysis Group) formed by members of the Department and the University Hospital of the Canary Islands.

His research activity is mainly focused on the application of Computer Vision and Deep Learning techniques to the automation of diagnosis in the medical field. As a result of this activity, he is co-author of 48 journal articles. He has also published and disseminated the results of his research in 63 conferences. In addition, he has been a visiting professor at the University of Queensland, the Technical University of Munich, the University of Genoa and the University of Iowa.