SOURCE-LINKED INTELLIGENCE

AI exposure therapist for anxiety disorders

CORDIS · observation · Publication date unknown

high-dimensional search problem, with complexly interacting variables. To efficiently search this high-dimensional space, this action will develop a new paradigm for improving ET by utilizing modern artificial intelligence (AI) and biosignal analysis methods. In particular, the new bio-adaptive ET paradigm will make use of latest advances in reinforcement learning algorithms and psychophysiological models. Reinforcement learning will allow intelligently optimizing the exposure procedure, by sequentially learning from each trial and each participant, and psychophysiological models will allow to estimate the participant's anxiety level better than through overt behavior or physiological signals alone. Although aimed at anxiety disorders, the proposed bio-adaptive ET paradigm has the potential to serve as a blueprint for optimizing behavioral therapies in general. This action will allow the fellow to gain valuable knowledge of latest AI techniques, which will put him at the forefront of the emerging discipline of computational psychiatry. Furthermore, the proposed agenda will lay the

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recordType

award

status

TERMINATED

region

EU

value

229501.2

unit

EUR