加强人类-人工智能合作:结肠镜检查的案例
Luca Introzzi1, Joshua Zonca2, Federico Cabitza3
1Department of Psychology, Università Milano - Bicocca, Milano, Italy.
概括
人工智能 (AI) 可以帮助医生,但有效的整合需要了解结肠镜等手术中的认知因素. 未来的研究应该专注于人类-人工智能合作,以提高诊断准确性和患者的治疗结果.
科学领域:
- 认知科学 认知科学
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 诊断错误显著影响患者健康和医疗保健费用.
- 人工智能 (AI) 通过支持医疗专业人员的决策提供了潜在的解决方案.
- 人工智能在临床实践中的有效性取决于其解决人类错误原因和促进合作的能力.
研究的目的:
- 审查结肠镜的神经认知基础,以确定诊断错误的来源.
- 评估目前在结肠镜中使用的人工智能工具,以将其与人类决策者集成.
- 提出优化医疗程序中人类-人工智能协作的原则.
主要方法:
- 对AI在医疗决策中的叙述性审查,重点是结肠镜检查.
- 分析在结肠镜检查期间导致诊断错误的神经认知因素.
- 评估现有的AI设备及其临床集成.
主要成果:
- 在结肠镜检查中确定了感知,注意力和决策瓶,导致诊断错误.
- 评估了当前人工智能设备的临床性能和整合.
- 强调需要基于证据的认知模型来开发人工智能.
结论:
- 最佳的人类-人工智能协作需要理解认知影响和开发有针对性的干预措施.
- 未来的研究应该集中在认知模型和培训计划上,以加强人工智能在提高诊断准确度方面的作用.
- 讨论的原则适用于各种医疗手术及其他领域.
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