Artificial Intelligence Application for Identifying Toxic Plant Species: A Case of Poisoning with Datura Stramonium.
Artificial intelligence
emergency
google gemini
plant
poisoning
Journal
Toxicon : official journal of the International Society on Toxinology
ISSN: 1879-3150
Titre abrégé: Toxicon
Pays: England
ID NLM: 1307333
Informations de publication
Date de publication:
14 Oct 2024
14 Oct 2024
Historique:
received:
17
09
2024
revised:
14
10
2024
accepted:
14
10
2024
medline:
17
10
2024
pubmed:
17
10
2024
entrez:
16
10
2024
Statut:
aheadofprint
Résumé
The management of plant poisonings in the emergency department (ED) presents various challenges. Foremost among these is the identification of the specific botanical species responsible for the toxic effect. In cases of plant poisoning, it is crucial to accurately identify the plant in order to promptly evaluate if it has cardiotoxic, neurotoxic, hepatotoxic, or anticholinergic properties. Furthermore, it is typically not possible to determine the identity of these plants through blood tests conducted in the ED. An otherwise healthy 23-year-old male patient presented to the ED with symptoms of restlessness, altered mental state, and hallucinations that occurred two hours after consuming herbal tea. On physical examination, he was tachypneic, tachycardic, and disoriented. The pupils were bilaterally mydriatic. The patient's symptoms were consistent with both sympathomimetic and anticholinergic (antimuscarinic) toxidromes. We were unable to promptly reach a botanist to identify the plant to which the patient had been exposed. Therefore, we employed Google Gemini, an artificial intelligence software, to ascertain the plant's identity. Google Gemini identified the plant we photographed as Datura stramonium, commonly known as jimson weed, which is known to cause anticholinergic toxicity. The botanist we contacted later confirmed that the plant was D. stramonium. The patient's symptoms were alleviated with the use of intravenous diazepam and physostigmine. We propose that the utilization of artificial intelligence applications with visual recognition capabilities could be beneficial for physicians, patients, and foragers of edible wild plants to accurately identify plants and distinguish toxic species.
Identifiants
pubmed: 39413975
pii: S0041-0101(24)00701-3
doi: 10.1016/j.toxicon.2024.108129
pii:
doi:
Types de publication
Case Reports
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
108129Informations de copyright
Copyright © 2024. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐ The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: