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An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology.

Isabelle BolonLukáš PicekAndrew M DursoGabriel AlcobaFrançois ChappuisRafael Ruiz de Castañeda
Published in: PLoS neglected tropical diseases (2022)
To our knowledge, this model's taxonomic and geographic coverage and performance are unprecedented. This model could provide high-speed and low-cost snake identification to support snakebite victims and healthcare providers in low-resource settings, as well as zoologists, conservationists, and nature lovers from across the world.
Keyphrases
  • artificial intelligence
  • healthcare
  • high speed
  • global health
  • low cost
  • machine learning
  • public health
  • big data
  • deep learning
  • high resolution
  • health information