Challenges for Artificial Intelligence in Recognizing Mental Disorders
Artificial Intelligence (AI) appears to be making important advances in the prediction and diagnosis of mental disorders. Researchers have used visual, acoustic, verbal, and physiological features to train models to predict or aid in the diagnosis, with some success. However, such systems are rarely...
Main Authors: | Wen-Jing Yan, Qian-Nan Ruan, Ke Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/1/2 |
Similar Items
-
Editorial: Artificial intelligence for mental disorder prevention and diagnosis: Technologies and challenges
by: Peiying Zhang, et al.
Published: (2023-03-01) -
A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders
by: Guang-Di Liu, et al.
Published: (2020-04-01) -
Preventive strategies for common mental disorders
by: Jasmin Garg, et al.
Published: (2017-01-01) -
Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample
by: Jorge Barros, et al.
Published: (2020-03-01) -
Deep-Learning-Based Automated Classification of Chinese Speech Sound Disorders
by: Yao-Ming Kuo, et al.
Published: (2022-07-01)