Robotics & Machine Learning Daily News2024,Issue(Jun.6) :115-115.

Department of Orthopedic Surgery and Traumatology Reports Findings in Artificial Intelligence ('Exploring the Potential of Artificial Intelligence in Traumatolo gy: Conversational Answers to Specific Questions.')

矫形外科和创伤学系报告了人工智能的发现(“探索人工智能在创伤治疗中的潜力:对特定问题的会话回答”)。

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :115-115.

Department of Orthopedic Surgery and Traumatology Reports Findings in Artificial Intelligence ('Exploring the Potential of Artificial Intelligence in Traumatolo gy: Conversational Answers to Specific Questions.')

矫形外科和创伤学系报告了人工智能的发现(“探索人工智能在创伤治疗中的潜力:对特定问题的会话回答”)。

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者从西班牙马德里发来的消息,研究称,"生成型人工智能(GAI)是一种通过conv ersational bot('chatbots')提供与人更大联系的技术。这些bot可以使用与人类无法区分的自然语言进行对话,是患者的潜在信息来源。本研究的目的是利用西班牙的Ques来研究这些bot在解决与矫形外科和创伤学有关的具体问题方面的表现。2008年至2023年之间的MIR考试"。我们的新闻记者引用了Orthopedical外科和创伤学系的研究,“通过回答MIR的114个问题,分析了三个‘聊天机器人’模型(ChatGPT,BARD和Perplexity),比较了它们的准确性,评估了它们回答的可读性。”结果表明:ChatGPT的正确回答率为72.81%,困惑回答率为67.54%(60.53%),BARD回答率最高(60.53%),BARD回答率最高(14%)。所有这三个应用程序都自发地失败了。错误被识别出来,包括逻辑和信息故障。虽然会话机器人在解决医疗问题方面很有用,但由于可能出现错误,建议谨慎。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Madrid, Spain, by NewsRx correspondents, research stated, “Generative Artificial Intelligence ( GAI) is a technology that provides greater connectivity with people through conv ersational bots (‘chatbots’). These bots can engage in dialogue using natural la nguage indistinguishable from humans and are a potential source of information f or patients.The aim of this study is to examine the performance of these bots in solving specific issues related to orthopedic surgery and traumatology using qu estions from the Spanish MIR exam between 2008 and 2023.” Our news journalists obtained a quote from the research from the Department of O rthopedic Surgery and Traumatology, “Three ‘chatbot’ models (ChatGPT, BARD and P erplexity) were analyzed by answering 114 questions from the MIR. Their accuracy was compared, the readability of their responses was evaluated, and their depen dence on logical reasoning and internal and external information was examined. T he type of error was also evaluated in the failures. ChatGPT obtained 72.81% correct answers, followed by Perplexity (67.54%) and BARD (60.53% ).BARD provides the most readable and comprehensive responses. The responses dem onstrated logical reasoning and the use of internal information from the questio n prompts. In 16 questions (14%), all three applications failed sim ultaneously.Errors were identified, including logical and information failures. While conversational bots can be useful in resolving medical questions, caution is advised due to the possibility of errors.”

Key words

Madrid/Spain/Europe/Artificial Intell igence/Emerging Technologies/Health and Medicine/Machine Learning/Traumatolo gy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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