The Impact of AI on Suicide Prevention

Historically, understanding the complex factors leading to suicide has been challenging, as traditional methods have not yielded significant insights. Machine learning and AI offer new potential by enabling researchers to build models that reflect this complexity and improve risk identification. Rather than seeing AI as a predictive tool, the focus is on it as a method for recognizing individuals who may need help, utilizing existing electronic health records and community data. This approach aims to provide clinicians with synthesized information, allowing them to identify high-risk individuals more efficiently and provide timely interventions.