The current state and prospects of artificial intelligence in depression detection
Authors: 
Qing Wan, Maorong Hu, Yue WangAuthors Info & Claims
Qing Wan, Maorong Hu, Yue WangAuthors Info & ClaimsPages 537 - 540
Abstract
Depression is a common mental health issue, and accurate detection of depression is crucial for early intervention and effective treatment. With the continuous development of artificial intelligence technology, its applications in depression detection are gradually making progress. This paper will review the current state of artificial intelligence in depression detection, including applications in sentiment analysis, data mining and predictive models, speech and language recognition, as well as remote monitoring and support. Additionally, we will discuss the challenges currently faced and explore possible future directions in the application of artificial intelligence in depression detection.
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- The current state and prospects of artificial intelligence in depression detection
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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
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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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