Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
The main purpose of the current article is to survey the general condition of AI technologies utilized in psychiatry. A search on PubMed shows that the number of papers written on application of AI to psychiatric matters has been growing remarkably. “Depression”, “schizophrenia”, and “Alzheimer’s disease” are the most frequent disorders that appeared in those articles published in 2018. “Support vector machine”, “random forest”, and “logistic regression” are the top 3 machine learning models referred there. “Deep learning” still seems to be rather unusual in psychiatric researches. It is definite that AI will bring great progress not only in clinical practices, but also in theoretical bases of psychiatry. Collaboration of AI engineers and clinical psychiatrists and arrangements of the social environment which promotes clinical researches with AI are essential.
