拥抱未来 - 人工智能已经更好了吗? 对人工智能在诊断准确性和决策方面的表现进行比较研究
Ângelo Fonseca1, Axel Ferreira1, Luís Ribeiro1
1Neurology Department, Hospital Pedro Hispano, ULS-Matosinhos, Matosinhos, Portugal.
European journal of neurology
|January 18, 2024
概括
人工智能 (AI) 聊天机器人在神经学方面表现有前途,其诊断准确度与人类专家相美. 这种人工智能工具可以帮助临床决策,但进一步开发对于更广泛的医疗应用至关重要.
科学领域:
- 神经学 神经学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在医疗保健中的整合为患者护理和临床决策提供了变革性的潜力.
- 大型语言模型 (LLM) 正在成为医疗应用中的强大工具.
研究的目的:
- 评估人工智能的可靠性,特别是大型语言模型聊天机器人,在神经学领域.
- 将人工智能聊天机器人的诊断准确度和决策能力与经验丰富的神经病学家进行比较.
主要方法:
- 一项横截面的观察性研究利用了美国神经学会"当天的问题"应用程序中的临床病例.
- 人工智能聊天机器人ChatGPT (GPT-3.5) 与平均1500名神经科医生和神经病学住院医生的反应进行了评估.
主要成果:
- 人工智能聊天机器人在22个神经学类别的188个问题中取得了71.3%的成功率.
- 人工智能性能与神经学同行 (69.2%的成功率) 相当,诊断准确率为85.0%,正确答案的理由为96.1%.
结论:
- 大型语言模型显示出作为人类在神经学临床推理和决策方面的专业知识的补充工具的巨大潜力.
- 进一步的进步是必要的,以改进AI的性能,并扩大其在各种医学专业的实用性.
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