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聊天GPT和微软副飞行器用于耳植入器侧面选择:初步研究

Daniele Portelli1, Sabrina Loteta1, Mariangela D'Angelo1

  • 1Unit of Otorhinolaryngology, Department of Adult and Development Age Human Pathology "Gaetano Barresi", University of Messina, 98125 Messina, ME, Italy.

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微软Copilot和ChatGPT-4在指导耳植入物 (CI) 侧面选择方面显示出希望. 在确定正确的植入方方面表现出色,而ChatGPT-4在识别放射性发现和耳方面表现出卓越的准确性.

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人工智能耳植入物生成型的人工智能听力助听器感应神经听力损失耳

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科学领域:

  • 耳鼻喉科
  • 人工智能
  • 医学成像
  • 听力学

背景情况:

  • 人工智能 (AI) 越来越多地被整合到耳鼻喉学中,特别是在耳植入物 (CI) 候选人评估中.
  • 准确确定合适的耳植入端对于最佳的患者结果至关重要.
  • 评估人工智能工具对复杂患者数据,包括听力学和放射学信息的解释能力至关重要.

研究的目的:

  • 评估ChatGPT-4和微软Copilot在选择正确的耳植入端方面的准确性和完整性.
  • 将ChatGPT-4和微软Copilot在解释听力学数据,放射学发现和耳存在方面的性能进行比较.
  • 评估人工智能作为耳植入器手术中的临床决策支持工具的潜力.

主要方法:

  • 使用了22名耳植入患者的数据,包括听力测量值,助听器益处,耳状态和放射性发现.
  • 用患者数据查询了ChatGPT-4和微软Copilot,以确定推的植入侧面.
  • 人工智能产生的建议与临床医生选择的侧面进行了比较,独立审核人员对其准确性和完整性进行了评估.

主要成果:

  • 与ChatGPT-4相比,微软Copilot在推正确的植入侧面 (75%为右,90%为左) 中的准确性更高 (50%为右,70%为左).
  • 与微软Copilot相比,ChatGPT-4在识别放射性变化 (60%) 和耳存在方面表现优异 (分别为40%和66.7%).
  • 这两种人工智能模型都显示出与临床医生的决定具有统计学意义的一致性 (p < 0.05),ChatGPT-4显示出更好的访谈者可靠性.

结论:

  • 这两种人工智能模型,ChatGPT-4和微软Copilot,都与耳植入物侧面选择的临床决策有很大关系.
  • 微软Copilot更准确地确定植入侧面,而ChatGPT-4则在识别放射细节和耳方面表现出色.
  • 人工智能工具显示为耳植入候选人的临床决策支持系统的潜力,为复杂的病例提供了进一步的调查.