人工智能和医学方面的脱
Scott Monteith1, Tasha Glenn2, John Richard Geddes3
1https://ror.org/05hs6h993Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, Michigan, USA.
概括
医生可能会过度依赖人工智能 (AI) 工具,这可能会降低临床推理,导致失业. 识别人工智能的人工智能
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能 (AI) 越来越多地被整合到医疗实践中,用于诸如记录和治疗计划等任务.
- 医生对AI临床建议的信任和依赖正在增长.
- 人们对过度依赖存在担忧,特别是在年轻的医生中.
研究的目的:
- 讨论医生由于越来越依赖人工智能而失去培训的风险.
- 突出了解AI在临床环境中的局限性的重要性.
主要方法:
- 这篇专题文章讨论了潜在的风险.
- 它分析了人工智能对临床推理和决策的影响.
- 它探讨了对患者沟通和医生技能的影响.
主要成果:
- 过度依赖人工智能可能会降低临床推理和决策的质量.
- 确定了对患者沟通和医生人际交往技能的潜在负面影响.
- 脱是一种与广泛使用人工智能相关的重大风险.
结论:
- 人工智能工具可以协助行政任务,但不能取代人类医生的基本技能.
- 医生必须认识到AI的局限性,以减轻风险.
- 在AI整合中,保持批判性思维和人际交往技能至关重要.
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