AIMC Topic: Suicide Prevention

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Crisis-line workers' perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity.

BMC public health Jul 2, 2025
BACKGROUND: Crisis support services offer crucial intervention for individuals in acute distress, providing timely access to trained volunteers whose human connection is key to the effectiveness of these services. However, there are significant dispa...
Artificial Intelligence Female Adult Male United Kingdom Volunteers Crisis Intervention Humans Hotlines Middle Aged Qualitative Research Interviews as Topic Suicide Prevention
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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data.

JMIR research protocols Jun 25, 2025
BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring improvements to risk screening methods. Current suicide risk screening practices in jails are insufficient: They are commonly not conducted using val...
Mass Screening Prisoners Jails Pilot Projects Adult Suicide Prevention Mental Health Suicide Male Humans United States Risk Assessment Machine Learning Algorithms Female
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Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews.

Journal of affective disorders Apr 22, 2025
INTRODUCTION: Suicide remains a critical global public health issue, with approximately 800,000 deaths annually. Despite various prevention efforts, suicide rates are rising, highlighting the need for more effective strategies. Traditional suicide ri...
Suicide Prevention Suicidal Ideation Suicide Artificial Intelligence Machine Learning Risk Assessment Suicide, Attempted Humans
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach.

Journal of medical Internet research Apr 14, 2025
BACKGROUND: Crisis hotlines serve as a crucial avenue for the early identification of suicide risk, which is of paramount importance for suicide prevention and intervention. However, assessing the risk of callers in the crisis hotline context is cons...
Humans Risk Assessment China Suicide Prevention Suicidal Ideation Machine Learning Female Adult Male Suicide Acoustics Hotlines
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Protocol for socioecological study of autism, suicide risk, and mental health care: Integrating machine learning and community consultation for suicide prevention.

PloS one Mar 19, 2025
INTRODUCTION: Autistic people experience higher risk of suicidal ideation (SI) and suicide attempts (SA) compared to non-autistic people, yet there is limited understanding of complex, multilevel factors that drive this disparity. Further, determinan...
Mental Health Services Autistic Disorder Suicide Prevention Suicidal Ideation Child United States Middle Aged Suicide, Attempted Adolescent Young Adult Humans Adult Machine Learning Mental Health Female Male Risk Factors
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Natural Language Processing United States Department of Veterans Affairs Veterans United States Department of Defense Suicide, Completed Predictive Learning Models Humans Psychological Well-Being Electronic Health Records Case-Control Studies Female Adolescent Male Aged Suicide Prevention Middle Aged Aged, 80 and over United States Risk Assessment Young Adult Adult
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Validation of a machine learning model for indirect screening of suicidal ideation in the general population.

Scientific reports Feb 24, 2025
Suicide is among the leading causes of death worldwide and a concerning public health problem, accounting for over 700,000 registered deaths worldwide. However, suicide deaths are preventable with timely and evidence-based interventions, which are of...
Humans Machine Learning COVID-19 Female Aged Young Adult Adolescent Mass Screening Adult Suicide Prevention Male Suicidal Ideation Middle Aged Suicide Surveys and Questionnaires
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Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review.

Journal of medical Internet research Jan 23, 2025
BACKGROUND: Prevention of suicide is a global health priority. Approximately 800,000 individuals die by suicide yearly, and for every suicide death, there are another 20 estimated suicide attempts. Large language models (LLMs) hold the potential to e...
Self-Injurious Behavior Humans Large Language Models Language Suicide Prevention
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Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review.

Journal of medical systems Dec 30, 2024
Suicide constitutes a public health issue of major concern. Ongoing progress in the field of artificial intelligence, particularly in the domain of large language models, has played a significant role in the detection, risk assessment, and prevention...
Risk Assessment Suicide Prevention Suicidal Ideation Suicide Humans Artificial Intelligence
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Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.

International journal of medical informatics Dec 17, 2024
OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time assistance to counselors during suicide prevention helpline conversations.
Suicide Prevention Counseling Humans Hotlines Middle Aged Counselors Female Deep Learning Adult Surveys and Questionnaires Male Self Efficacy
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