research-article

The Application of Artificial Intelligence in the Mental Diseases

Authors:

Yong HanAuthors Info & Claims

CAIH2020: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare

Pages 36 - 40

https://doi.org/10.1145/3433996.3434004

Published: 04 December 2020 Publication History

Abstract

The advent of the era of big data has brought opportunities for the application of artificial intelligence and mental health. From "virtual psychotherapists" to social robots for dementia and autism treatment to robots for treatment of disorders, AI is innovating traditional models of mental illness prevention and treatment with high levels of treatment and interventions. This paper summarizes the research progress of artificial intelligence in mental illness group, including the current situation of the application of mental illness prevention, diagnosis, treatment and nursing, and discusses the advantages, disadvantages and prospects of the application of artificial intelligence in the field of mental illness, hoping to provide reference for the sustainable development of this field.

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Cited By

Kolpashchikov DGerget OMeshcheryakov R(2024)Robotics and Artificial Intelligence in HealthcareAdvances in Intelligent Healthcare Delivery and Management10.1007/978-3-031-65430-5_5(93-106)Online publication date: 19-Sep-2024
https://doi.org/10.1007/978-3-031-65430-5_5
Lei LLi JLi W(2023)Assessing the role of artificial intelligence in the mental healthcare of teachers and studentsSoft Computing10.1007/s00500-023-08072-5Online publication date: 4-Apr-2023
https://doi.org/10.1007/s00500-023-08072-5
Nishimura YHossain TSano AIsomura SArakawa YInoue S(2022)Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather DataSensor- and Video-Based Activity and Behavior Computing10.1007/978-981-19-0361-8_1(1-26)Online publication date: 4-May-2022
https://doi.org/10.1007/978-981-19-0361-8_1

Index Terms

The Application of Artificial Intelligence in the Mental Diseases
1. Computing methodologies
  1. Artificial intelligence
    1. Planning and scheduling
      1. Robotic planning
        Evolutionary robotics
2. General and reference
  1. Cross-computing tools and techniques
    1. Design

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CAIH2020: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare

October 2020

294 pages

ISBN:9781450388641

DOI:10.1145/3433996

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 December 2020

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CAIH2020: 2020 Conference on Artificial Intelligence and Healthcare

October 23 - 25, 2020

Taiyuan, China

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Cited By

Kolpashchikov DGerget OMeshcheryakov R(2024)Robotics and Artificial Intelligence in HealthcareAdvances in Intelligent Healthcare Delivery and Management10.1007/978-3-031-65430-5_5(93-106)Online publication date: 19-Sep-2024
https://doi.org/10.1007/978-3-031-65430-5_5
Lei LLi JLi W(2023)Assessing the role of artificial intelligence in the mental healthcare of teachers and studentsSoft Computing10.1007/s00500-023-08072-5Online publication date: 4-Apr-2023
https://doi.org/10.1007/s00500-023-08072-5
Nishimura YHossain TSano AIsomura SArakawa YInoue S(2022)Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather DataSensor- and Video-Based Activity and Behavior Computing10.1007/978-981-19-0361-8_1(1-26)Online publication date: 4-May-2022
https://doi.org/10.1007/978-981-19-0361-8_1

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