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Social Media Images Can Predict Suicide Risk Using Interpretable Large Language-Vision Models.

Yael BadianYaakov OphirRefael TikochinskiNitay CalderonAnat Brunstein KlomekEyal FruchterRoi Reichart
Published in: The Journal of clinical psychiatry (2023)
Conclusions: This study provides a first proof that publicly available images can be leveraged to predict validated suicide risk. It also provides simple and flexible strategies that could enhance the development of real-life monitoring tools for suicide.
Keyphrases
  • social media
  • deep learning
  • health information
  • optical coherence tomography
  • machine learning