A. Peled, Israel

'Technion' Israel Institute of Technology Dept' SM, Mental Health Center 
Graduated MD from La Sapienza University of Rome Italy 1988 Residency in psychiatry Rambam Medical Center Graduate 1995 Post-Doc in Neuroscience UCD Medical Center California 1995-1998 From 1998 and currently Chair of department at Shaa’r-Menashe MHC Israel. Experienced chairing various departments including forensic psychiatry wards providing court psychiatric opinions. Since 1998 holding academic position, lecturer at the Rappaport Faculty of Medicine, Technion, Israel Institute of Technology. Since 1998 teaching positions include Head of residency program and head of student psychiatry clerkship at Shaa’r-Menashe MHC supervisor for PhD students. 1998 Founder of “NeuroAnalysis,” website, author of four books and various publications applying physics of complex-systems to psychiatric diagnosis. 2017 Cofounder of Brain Profiler

Presenter Of 2 Presentations

Symposium: e-Mental Health and the Future of Psychiatric Diagnosis (ID 262) No Topic Needed

Live Q&A

Session Icon
Pre-Recorded with Live Q&A, Section
Date
Sun, 11.04.2021
Session Time
15:30 - 17:00
Room
Channel 5
Lecture Time
16:38 - 16:58
Symposium: e-Mental Health and the Future of Psychiatric Diagnosis (ID 262) No Topic Needed

S0038 - Brain Profiling: Translating Symptoms into Brain-related Disturbances

Session Icon
Pre-Recorded with Live Q&A, Section
Date
Sun, 11.04.2021
Session Time
15:30 - 17:00
Room
Channel 5
Lecture Time
15:47 - 16:04
Presenter

ABSTRACT

Abstract Body

Recent years have seen a great advancement in the emerging field of Neural Computation, a study of the brain using neuronal network models. As a consequence, another field of science is being developed titled ‘Computational Psychiatry’ where neuronal network models of psychopathology help understand the possible etiology for mental disorders.

With Computational Psychiatry we can begin and reformulate mental disorders as brain disorders. Etiological diagnosis in psychiatry will be the next breakthrough which will allow to effectively treat mental disorders and will bring psychiatry back to the realm of medicine

Computational Psychiatry together with advances in technology, will transform psychiatry beyond recognition: With the development of the connecting internet and sensor technology (e.g., face speech recognition) mental status examination can be easily extracted and delivered over distance (tele-psychiatry). With the help of AI the extracted psychiatric phenomenology can be interpreted to match most of the diagnostic process of a skilled psychiatrist. Once achieved a continual psychiatric monitoring coupled with new technology of wireless dry-electrode electrophysiological brain imaging can begin and collect big-data. Big-data analysis stand a good chance to reveal the etiological correlations between mental disorders and their brain-related origins. Thus, etiology for mental disorders can begin to unravel.

Neural modulation technology will be the answer for effective therapeutic interventions (i.e., future brain pacers).

Hide