AI-Assisted Diagnosing, Monitoring and Treatment of Mental Disorders: A Survey
Authors: 
Faustino Muetunda, Soumaya Sabry, M. Luqman Jamil, Sebastião Pais, Gaël Dias, João CordeiroAuthors Info & Claims
Faustino Muetunda, Soumaya Sabry, M. Luqman Jamil, Sebastião Pais, Gaël Dias, João CordeiroAuthors Info & ClaimsArticle No.: 23, Pages 1 - 24
Abstract
Globally, one in seven people has some kind of mental or substance use disorder that affects their thinking, feelings and behaviour in everyday life. People with mental health disorders can continue their normal lives with proper treatment and support. Mental well-being is vital for physical health. The use of AI in mental health areas has grown exponentially in the last decade. However, mental disorders are still complex to diagnose due to similar and common symptoms for numerous mental illnesses, with a minute difference. Intelligent systems can help us identify mental diseases precisely, which is a critical step in diagnosing. Using these systems efficiently can improve the treatment and rapid recovery of patients. We survey different artificial intelligence systems used in mental healthcare, such as mobile applications, machine learning and deep learning methods, and multi-modal systems and draw comparisons from recent developments and related challenges. Also, we discuss types of mental disorders and how these different techniques can support the therapist in diagnosing, monitoring, and treating patients with mental disorders.
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October 2024
195 pages
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Association for Computing Machinery
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Publication History
Published: 23 October 2024
Online AM: 25 July 2024
Accepted: 02 July 2024
Revised: 22 September 2023
Received: 23 September 2022
Published in HEALTH Volume 5, Issue 4
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- European Commission through the Horizon 2020 project Pharaon
- Grant from Science Foundation Ireland under Grant number
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