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Snakebite and snake identification:  empowering neglected communities and health-care providers with AI
Journal article   Open access   Peer reviewed

Snakebite and snake identification: empowering neglected communities and health-care providers with AI

Rafael Ruiz de Castañeda, Andrew Durso, Nicolas Ray, José Luis Fernández, David J. Williams, Gabriel Alcoba, François Chappuis, Marcel Salathé and Isabelle Bolon
The Lancet Digital Health, pp.202-203
09-2019

Abstract

Snake bite AI (Artificial intelligence)
With estimates of 81 410–137 880 deaths and 400 000 cases of disability globally every year,1, 2 snakebite envenoming needs urgent attention. WHO launched a road map in May, 2019, and by 2030 hopes to see three million effective treatments produced annually and to halve snakebite-associated deaths and disabilities.1 Yet, before treating snakebite envenoming, there are fundamental questions: which species of snake has bitten the victim, what are the probable outcomes, and how can we intervene to improve the prognosis? These factors are central to understanding snakebite epidemiology.
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