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Can AI save teen lives?
28 août 2025
By Ana Espino | Published on August 28, 2025 | 3 min read
#AdolescentSuicidality #AI #MachineLearning #Prevention
Suicide ranks among the leading causes of death in adolescents, making it a particularly pressing public health issue. Traditional methods of risk assessment rely mainly on clinical interviews and standardized questionnaires. However, these approaches face major limitations: underreporting of symptoms, difficulty in detecting subtle and early warning signs, subjectivity in interpreting responses, and limited predictive power for anticipating suicidal behaviors.
#AdolescentSuicidality #AI #MachineLearning #Prevention
Suicide ranks among the leading causes of death in adolescents, making it a particularly pressing public health issue. Traditional methods of risk assessment rely mainly on clinical interviews and standardized questionnaires. However, these approaches face major limitations: underreporting of symptoms, difficulty in detecting subtle and early warning signs, subjectivity in interpreting responses, and limited predictive power for anticipating suicidal behaviors.
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Scientific reference
Metri, P., et al. (2025). Predictive modeling of adolescent suicidal behavior using machine learning: Key features and algorithmic insights. MethodsX, 15, 103454
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