Machine Learning and Artificial Intelligence in Mental Health

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.