Overview of AI in Diagnosis for Schizophrenia, Depression and Anxiety

DOI

10.2991/assehr.k.220110.161How to use a DOI?

Keywords

artificial intelligence; mental disorders; mental diagnostics; schizophrenia; depression; anxiety

Abstract

The morbidities of mental disorders are becoming higher and higher in the wake of higher and higher urbanization rate. However, the diagnostic accuracies of different mental disorders are not high enough for conducting satisfactory mental health cares. One of the reasons is that, unlike physical illnesses, mental diagnostics relies mainly on symptomatology and rarely on etiology due to the complicated causes of mental disorders. This makes it only possible to use induction rather than deduction during diagnosis. However, the symptoms of the same mental disorders can also vary a lot across patients. In order to do the induction better, it is important and constructive to integrate AI into current psychiatric system. This paper would overview current achievements on diagnosing schizophrenia, depression, and anxiety disorders using AI. In addition, the advantages and shortcomings of utilizing current technologies in real medical scene will also be discussed including diagnostic power, costs and ethical issues.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

Download article (PDF)

TY  - CONF
AU  - Shiyu Zuo
PY  - 2022
DA  - 2022/01/28
TI  - Overview of AI in Diagnosis for Schizophrenia, Depression and Anxiety
BT  - Proceedings of the 2021 International Conference on Public Art and Human Development ( ICPAHD 2021)
PB  - Atlantis Press
SP  - 853
EP  - 857
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220110.161
DO  - 10.2991/assehr.k.220110.161
ID  - Zuo2022
ER  -