人工智能在顺势疗法的急性处方中的应用:一个比较的回顾性研究
Rachael Doherty1, Parker Pracjek1, Christine D Luketic1
1HOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.
Healthcare (Basel, Switzerland)
|August 14, 2025
概括
人工智能 (AI) 对急性疾病的顺势疗法指导与实践者不同. 人工智能工具尚未取代专业的顺势疗法咨询,这突出了验证的挑战.
科学领域:
- 顺势疗法研究 顺势疗法研究
- 医学中的人工智能
- 数字健康数字健康
背景情况:
- 研究人工智能 (AI) 在医疗应用中的作用.
- 评估AI驱动的顺势疗法指导与急性疾病的实践医生的建议.
研究的目的:
- 为了比较人工智能产生的顺势疗法建议与活医生对急性疾病的建议.
- 探索验证顺势疗法人工智能工具的挑战.
- 了解人工智能的价值和局限性,以管理急性健康问题.
主要方法:
- 分析了来自一家顺势疗法教学诊所的100例病例.
- 一个商业的顺势疗法药物寻找器 (AI) 被用来比较自动推与实践医生的建议.
- 对比包括客户的症状,免责声明,补救措施和剂量.
主要成果:
- 人工智能为每个投诉提供1-20条补救建议,要求用户做出决定.
- 在AI结果中,59%的时间发现了实践者疗法,前三名为37%,最高匹配为17%.
- 人工智能缺乏管理补救措施响应的指导,与现场设置不同.
结论:
- 人工智能疗法寻找者不是活生生的顺势疗法从业者的直接替代品.
- 与真实世界的案例对AI建议进行验证具有重大挑战.
- 该研究涵盖了74个急性病情,其中22个是活病例.
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