Machine Learning and Artificial Intelligence in Mental Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Mental Health".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 757
Special Issue Editors
Interests: machine learning; neuroimaging; computer science; deep learning; mental health
Special Issue Information
Dear Colleagues,
Mental health conditions are a significant concern for a significant portion of the population. According to the World Health Organization, one in four people will experience some form of mental health issue at some point in their lives. This means that the use of machine learning and artificial intelligence to improve mental health assessment and treatment has the potential to impact a large number of individuals. Furthermore, by integrating these technologies into mental health research, we can enhance our understanding of the underlying mechanisms of these conditions and ultimately develop more effective and personalized treatments, potentially improving the lives of millions of people struggling with mental health issues.
This Special Issue aims to showcase the potential of machine learning and artificial intelligence to not only improve assessment and treatment, but also to improve our understanding of the underlying mechanisms of mental health disorders. Machine learning algorithms have the potential to analyze large datasets and identify patterns that human analysts may overlook. This can be especially useful in mental health, where large amounts of data, such as brain imaging scans and electronic health records, can be difficult for humans to analyze. Using machine learning methods, researchers may more accurately identify risk factors for mental health conditions, predict treatment outcomes, and optimize/personalize treatment plans. Beyond machine learning, the Special Issue will also welcome other artificial intelligence applications, such as chatbots, that may also improve the assessment and treatment of mental health disorders.
Overall, the use of artificial intelligence and machine learning has the potential to revolutionize the field of mental health and improve the lives of millions of individuals struggling with mental health disorders. We hope that the articles in this Special Issue will inspire researchers to continue exploring the potential of these methods and their application in mental health research.
Dr. Aleix Solanes
Dr. Joaquim Radua
Guest Editors
Manuscript Submission Information
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Keywords
- mental health
- neuroimaging
- neuroscience
- machine learning
- deep learning
- mental disorders
- artificial intelligence
- prediction
- personalized treatments
- risk factors
- outcome prediction
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