Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews.

Journal: Journal of affective disorders
PMID: 40274119

Abstract

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 risk assessment methods often fall short in accuracy and predictive capability. This has driven interest in artificial intelligence (AI), particularly machine learning (ML), as a potential solution. This paper reviews systematic evaluations of AI's effectiveness in predicting suicide risk, aiming to explore AI's potential while addressing its challenges and limitations.

Authors

  • Salma Abdelmoteleb
    Cedars-Sinai Health System, Los Angeles, CA, USA.
  • Muhammad Ghallab
    Creighton University, Department of Cardiology, Omaha, NE, USA.
  • Waguih William IsHak
    Cedars-Sinai Health System, Los Angeles, CA, USA; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. Electronic address: Waguih.IsHak@cshs.org.

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