The use of artificial intelligence applied to the study of the brain and pathologies related to psychiatry such as depression, will be analyzed in an international symposium in which works will be presented on how to implement a large database that allows finding links between various symptoms suffered by people.
The 14th International Scientific Symposium “Artificial Intelligence Applied to the Clinic”, which will be held on August 23, different experts will address the challenges and possibilities of big data in neuropsychiatry.
At the event, organized by the Ineco Foundationthe specialists highlighted the latest work on the use of “Artificial Intelligence strategies with automated learning methods to analyze large databases, which makes it possible to find links between the various symptoms suffered by people.”
“This opens up new lines of research and, more importantly, allows treatment to be targeted”highlighted the Foundation in a statement.
?14th INECO Foundation International Scientific Symposium – “Artificial Intelligence Applied to the Clinic”
⏩ Tuesday, August 23 – from 2:00 p.m. to 6:00 p.m.
⏩ You can participate both in person and virtual.
➡REGISTER: https://t.co/kLEjOmcniy pic.twitter.com/hmw6BO2QP7— INECO Group (@INECOArgentina) August 9, 2022
The scientific entity assured that the applications of Artificial Intelligence in neurology and psychiatry, carry an unparalleled potential by allowing patterns to be identified in data that converge from the clinic, neuroimaging, molecular markers and genetics”.
“Despite the ethical dilemmas and doubts that have historically existed around technology, the advances of the last decade have been accompanied by a true explosion of computational paradigms that have penetrated the fields of science and medicine in their entirety”, said Marcelo Cetkovich, psychiatrist and medical director of Ineco.
He further specified that “It is not about displacing traditional medicine, but about integrating these approaches to improve the quality of clinical care in different diseases such as depression, epilepsy and multiple sclerosis, among others”.
He added: “In combination with telemedicine, artificial intelligence can play an important role in improving and expanding the population’s access to the public health system.”
exhibitors
Among the speakers will be Walter Sosa Escudero, principal investigator at Conciet, who will delve into the challenges and opportunities of big data.
Also Paul Thompson, Professor of Neurology, Psychiatry, Engineering and Radiology at the University of Southern California, who will show large-scale studies applying artificial intelligence and machine learning models to a wide variety of human brain disorders.
And also Karl Friston, Scientific Director of the Wellcome Center for Human Neuroimaging in London, who will explain how machine learning models can help predict subjective beliefs and feelings.
