人工智能应用用于识别有毒植物物种:一个用Datura stramonium中毒的病例
Kamil Kokulu1, Ekrem Taha Sert1
1Department of Emergency Medicine, Aksaray Training and Research Hospital, Aksaray, Turkey; Department of Emergency Medicine, Aksaray University School of Medicine, Aksaray, Turkey.
概括
人工智能 (AI) 在植物中毒案中准确识别了吉姆森杂草 (Datura stramonium). 这项技术可以帮助急救部门识别有毒植物,改善患者护理和安全.
科学领域:
- 紧急医疗 紧急医疗
- 植物学 植物学
- 人工智能的人工智能
背景情况:
- 植物中毒在急诊室 (ED) 中带来了诊断挑战.
- 准确的植物鉴定对于评估毒性 (心脏毒性,神经毒性,肝毒性,抗胆性) 是至关重要的.
- 标准ED血液测试无法识别植物物种.
研究的目的:
- 评估人工智能 (AI) 在识别导致 ED 患者中产生毒性影响的植物中的实用性.
- 探索人工智能作为一种工具,以协助诊断和管理植物引起的毒性.
主要方法:
- 一份病例报告显示,一名23岁的男性在饮用草药茶后出现抗胆固醇和交感相对药性毒性.
- 疑似植物材料的摄影文件.
- 利用谷歌双子,一个AI软件具有视觉识别功能,用于植物识别.
- 与植物学家进行咨询,以确认AI的身份.
主要成果:
- 谷歌双子号确定了该植物为Datura stramonium (吉姆森杂草).
- 患者的症状与Datura stramonium引起的抗胆固醇毒性一致.
- 一位咨询植物学家后来证实了AI对Datura stramonium的识别.
- 通过支持性护理和特定的抗药物,患者的病情得到改善.
结论:
- 有视觉识别的人工智能应用程序可以准确识别植物物种.
- 人工智能可以成为紧急医生的宝贵工具,用于管理植物中毒.
- 人工智能辅助的植物识别可能有利于患者,医生和采集者,通过区分有毒物种和无毒物种.
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