Brain disorders include disabilities that stem from brain dysfunction, including neurological (Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, stroke, epilepsy and seizures, etc.), sleep disorders, and mental health disorders (depression, anxiety, etc.). Brain disorders interfere with activities of daily living and worsen quality of life, and are often associated with social stigma.
Many disorders can be managed effectively if diagnosed early, leading to better clinical and social outcomes. Therefore, early diagnosis, accurate prognosis, and optimal therapeutic decision making are crucial in achieving better quality of life for a person and lowering healthcare burden for a society.
Real-world data, i.e., patient data collected from a variety of sources, and Artificial Intelligence (AI)/Machine Learning (ML) have created new ways for personalized diagnosis and prognosis of complex brain disorders. While various methods have been developed, approaches regarding interpretability, fusion of the different modalities, uncertainty estimation, or privacy issues remain as major challenges.
MES-CoBraD, represented by NTUA and NIA, will be holding a Roundtable on “Artificial Intelligence Methods for Understanding Complex Brain Disorders” on the 19th of July, during the Fifteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2024), July 17-20, 2024.
The aim is to bring together researchers with expertise relevant to the use of AI/ML methods in the healthcare domain for discussing the latest advances in this emerging field, highlighting applications and cases that make use of data and appropriate techniques for early diagnosis of brain disorders. Methods for processing healthcare data, i.e. actigraphy, MRI, electroencephalography (EEG) signals, etc., through advanced analytics methods and Artificial Intelligence decision support algorithms will be discussed, along with the benefits of these approaches for policy makers and insurance providers.
Don't miss this opportunity to learn more about our research and innovative solutions in the fields of medical science and IT! PARTICIPANTS
Christos Ntanos, National Technical University of Athens, Greece
Elissaios Karageorgiou, Neurological Institute of Athens, Greece
Ioannis Stavropoulos, Kings College London, United Kingdom
Emily Adrion, The University of Edinburgh, Scotland
Loukas Ilias, National Technical University of Athens, Greece
Theodosios Pountridis, National Technical University of Athens, Greece
Vangelis Lamprou, National Technical University of Athens, Greece
Konstantinos Alexakis, National Technical University of Athens, Greece