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人工智能软件可以用于甲状腺多学科团队成果吗?

Amir Habeeb1, Kim Hui Lim2, Xenofon Kochilas2

  • 1Academic Clinical Fellow Association, Queen Mary University of London, London, UK.

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概括
此摘要是机器生成的。

人工智能 (AI) 软件在协助甲状腺多学科团队 (MDT) 决策方面显示出潜在的潜力,用于甲状腺癌管理. 然而,人工智能产生的结果需要临床医生的验证,以确保准确性和患者安全.

关键词:
人工智能的人工智能是人工智能.头和子的头部和子.恶性瘤是一种恶性瘤.这是一个多学科的团队.耳鼻喉科 耳鼻喉科 耳鼻喉科结果就是结果.甲状腺是什么?甲状腺是什么?

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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 在瘤学瘤学.

背景情况:

  • 耳鼻喉 (ENT) 服务因甲状腺恶性瘤率上升而面临越来越多的需求.
  • 多学科团队 (MDT) 会议对于最佳的甲状腺癌管理至关重要.
  • 人工智能 (AI) 为医疗保健挑战提供了潜在的解决方案.

研究的目的:

  • 评估AI软件 (ChatGPT-4TM) 在生成甲状腺MDT结果中的准确性.
  • 评估人工智能产生的结果与既定临床指南 (英国甲状腺协会) 的一致性.
  • 探索AI在优化甲状腺癌治疗途径中的作用.

主要方法:

  • 对30例甲状腺MDT病例的回顾性分析 (2023年10月 - 2024年5月).
  • 使用ChatGPT-4TM,根据英国甲状腺协会 (BTA) 的指导方针产生结果.
  • 人工智能产生的结果与已确定的MDT结果之间的量化一致水平.

主要成果:

  • 建立的MDT与BTA指南达到了100%的一致性.
  • 在最高的协议类别中,ChatGPT-4TM与MDT的结果达成67%的一致.
  • 在ChatGPT-4TM和MDT结果之间观察到13%的完全不一致率.

结论:

  • 人工智能软件提供了一种具有成本效益的工具,可以潜在地简化复杂的甲状腺MDT决策.
  • 人工智能可以帮助管理临床工作量,为其他需求释放专家.
  • 临床监督仍然至关重要;人工智能产生的结果需要医疗保健专业人员的强制性验证.