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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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鼻整形恢复中的人工智能:语言智能和机器学习驱动的洞察力

Aynur Aliyeva1,2, Elad Azizli3, Vusala Snyder4

  • 1Neuroscience Doctoral Program, Yeditepe University, Istanbul 34755, Turkey.

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概括
此摘要是机器生成的。

在术后鼻整形问题上,ChatGPT-4显示出高精度和清晰度,但以患者为中心的沟通需要改进. 人工智能工具可能有助于,但不能取代个性化的医疗建议或后续护理.

关键词:
聊天GPT-4 聊天GPT-4 聊天人工智能的人工智能是人工智能.语言分析语言分析.机器学习是机器学习.鼻腔整形术是指进行鼻腔整形术.

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科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用
  • 耳鼻喉科 耳鼻喉科 耳鼻喉科

背景情况:

  • 术后护理对于鼻整形术的结果至关重要.
  • 患者经常寻求易于获取的关于康复的信息.
  • 像ChatGPT-4这样的大型语言模型 (LLM) 为患者信息传播提供了潜力.

研究的目的:

  • 评估ChatGPT-4作为术后鼻整形信息工具的性能.
  • 评估人工智能产生的反应的准确性,清晰性,相关性和以患者为中心.
  • 将AI反应与专家耳鼻喉科医生 (ENT) 的评估进行比较.

主要方法:

  • 采用了观察性,横截面模拟研究设计.
  • 对ChatGPT-4提出了10个标准化的术后鼻整形问题.
  • 盲目耳鼻喉专家使用结构化绩效仪器和语言/统计分析独立评价了答案.

主要成果:

  • 聊天GPT-4获得了高准确度 (90%) 和清晰度 (87%) 的分数.
  • 以患者为中心的沟通得分较低 (77%).
  • 机器学习分析确定了清晰度,诊断深度和同情心是高评级的关键因素.

结论:

  • 聊天GPT-4在提供准确和清晰的术后鼻整形信息方面显示出显著的潜力.
  • 虽然人工智能工具可以补充临床医生的咨询,但它们不能取代个性化的医疗建议或手术后续治疗.
  • 需要进一步开发以提高AI在医疗环境中的以患者为中心的沟通能力.