AI FOR MENTAL HEALTH
Mental health disorders account for several of the top causes of disability in established market economies, such as the U.S., worldwide, and include: major depression (also called clinical depression), manic depression (also called bipolar disorder), schizophrenia, and obsessive-compulsive disorder. Based on Johns Hopkins University, an estimated 26% of Americans ages 18 and older -- about 1 in 4 adults -- suffers from a diagnosable mental disorder in a given year.
Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems, like human being. The huge potential of applying AI for mental health represents an exciting future. In addition, humans may be interconnected in a revolutionary way to stimulate tremendous amount of interesting activities.
The symposium on Artificial Intelligence for Mental Health (ai4mh), is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of Artificial Intelligence and mental health, as well as to identify the emerging topics and define the future of AI for Mental Health.
TOPICS OF INTEREST
Computational behavior science
Machine learning and deep learning
Fabio Catania, Politecnico di Milano, Italy
Chih-Hung Chang, Washington University School of Medicine in St. Louis, USA
Newton Howard, University of Oxford, UK
Phillip Sheu, University of California, Irvine, USA
The conference proceedings will be published by the IEEE Computer Society Press. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.