Detection of Pesticide Responsible of Intoxication: An Artificial Intelligence Based Method

According to WHO surveys, African countries import less than 10% of the pesticides used in the world, but they account for half of accidental poisonings and more than 75% of fatal cases. Faced with this alarming figure, and in order to prevent death and improve emergency treatment of cases of pesticide poisoning, it becomes important to use the potential of artificial intelligence in the diagnosis, prognosis and processing of these admissions. Our approach is essentially based on algorithms, in particular decision support software capable of predicting, based on major clinical signs, the most probable pesticide in the triage room. Before moving on to the confirmation stage based on biological and toxicological investigations, which are often costly and time-consuming.