Depression and Thoughts of Suicide among Military Personnel and Veterans: Exploring Synthesized Mind-Sets Created By AI, Using Mind Genomics Principles

AI was used to create eight mind-sets of military personnel and veterans who were at risk of depression and suicide. The use of synthetic mind-sets by AI allows the mental health professional, as well as other interested parties, to recognize language and behavior manifestations, which might be signals of deep depression and suicide. The AI synthesis uses Mind Genomics to structure the topic and is presented as an evolving technology to help the learning process. Users can specify aspects, such as the nature of warning language, to generate slogans designed to lift the spirit of the troubled individual. The study is part of a series, which explores topics of mental health by means of AI synthesis.

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Publication Details

Journal
Recent Advances in Clinical Trials
Published
2024-09-30
DOI
https://doi.org/10.33425/2771-9057.1044
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

Depression and Thoughts of Suicide among Military Personnel and Veterans: Exploring Synthesized Mind-Sets Created By AI, Using Mind Genomics Principles

Howard Moskowitz, Stephen Rappaport, Tonya Anderson, Taylor Mulvey et al.
1 links
Recent Advances in Clinical Trials
Mental Health via Writing
article

Depression and Thoughts of Suicide among Military Personnel and Veterans: Exploring Synthesized Mind-Sets Created By AI, Using Mind Genomics Principles

Howard Moskowitz, Stephen Rappaport, Tonya Anderson, Taylor Mulvey, Sharon Wingert, Sunaina Saharan, Martin Mulvey
article en

Abstract

AI was used to create eight mind-sets of military personnel and veterans who were at risk of depression and suicide. The use of synthetic mind-sets by AI allows the mental health professional, as well as other interested parties, to recognize language and behavior manifestations, which might be signals of deep depression and suicide. The AI synthesis uses Mind Genomics to structure the topic and is presented as an evolving technology to help the learning process. Users can specify aspects, such as the nature of warning language, to generate slogans designed to lift the spirit of the troubled individual. The study is part of a series, which explores topics of mental health by means of AI synthesis.

Recent Advances in Clinical TrialsVol. 4(3)
Quality Education
Openalex Percentile: Top 66%
Mental Health via Writing
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