The current state and prospects of artificial intelligence in the detection of bipolar affective disorder.
Authors: 
Cong Zhao, Huajie Sui, Yafen Wu, Yan LiuAuthors Info & Claims
Pages 399 - 403
Abstract
Objective: Bipolar affective disorder is a prevalent mental health issue, carrying significant importance in the accurate diagnosis of depression, as early intervention and effective treatment are crucial. With the constant evolution of artificial intelligence technology, its application in the detection of bipolar affective disorder is gradually demonstrating progress. This paper aims to review the current state of artificial intelligence in the detection of bipolar affective disorder, encompassing applications in emotion analysis, data mining and predictive models, speech and language recognition, as well as remote monitoring and support. Furthermore, we will explore the challenges currently faced and delve into the future directions of artificial intelligence in the detection of bipolar affective disorder. Through this comprehensive review and research outlook, we aspire to deepen understanding of the potential and role of artificial intelligence in the detection of bipolar affective disorder, and provide guidance for future research and development.
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- The current state and prospects of artificial intelligence in the detection of bipolar affective disorder.
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Published In
October 2023
1394 pages
ISBN:9798400708138
DOI:10.1145/3644116
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 05 April 2024
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ISAIMS 2023
ISAIMS 2023: 2023 4th International Symposium on Artificial Intelligence for Medicine Science
October 20 - 22, 2023
Chengdu, China
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Overall Acceptance Rate 53 of 112 submissions, 47%
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