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探索人工智能在创伤学中的潜力:对特定问题的对话性答案

F Canillas Del Rey¹, M Canillas Arias²

¹Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitario Cruz Roja, Madrid, España; Facultad de Medicina, Universidad Alfonso X el Sabio, Madrid, España.

Revista espanola de cirugia ortopedica y traumatologia

|May 23, 2024

概括

生成型人工智能聊天机器人显示出回答骨科手术问题的潜力,但准确性各不相同. 人类医疗专业知识仍然是必不可少的,因为当前的局限性和AI响应中的潜在错误.

科学领域:

人工智能在医学中的应用
医疗信息学医疗信息学

背景情况:

生成型人工智能 (AI) 聊天机器人提供自然语言交互,为患者提供潜在的信息来源.
这些先进的交谈机器人可以与人类进行类似的对话,这引发了关于它们在专业医疗领域的可靠性的问题.

研究的目的:

评估领先的人工智能聊天机器人在解决骨科手术和创伤学查询方面的表现.
评估聊天机器人的准确性和响应质量,使用西班牙MIR (医疗实习生) 考试中的问题.

主要方法:

三个人工智能聊天机器人模型 (ChatGPT,Bard,Perplexity) 用西班牙MIR考试 (2008-2023) 的114个骨科和创伤学问题进行了测试.
评估聊天机器人的准确性,响应可读性,逻辑推理和依赖内部/外部数据.
分类错误,包括逻辑谬误和信息不准确.

主要成果:

聊天GPT获得了最高的准确性 (72.81%),其次是困惑 (67.54%) 和巴德 (60.53%).
巴德提供了最易于阅读和最全面的答案,展示了逻辑推理.
这三个聊天机器人都在14%的问题上失败了,表现出逻辑和信息错误.

结论:

交谈式人工智能聊天机器人可以协助医疗查询,但由于潜在的不准确性,需要谨慎使用.
这些人工智能工具仍在发展,应该补充,而不是取代临床实践中的人类医疗判断.

关键词:

巴尔德巴尔德巴尔德巴尔德是什么意思聊天GPT 聊天在GPT 聊天聊天机器人聊天机器人生成型的人工智能人工智能是一种创造性的人工智能.答案是多选题,答案是多选题.困惑感困惑感困惑感回答一个多选项问题.机器人交谈机器人

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