谷歌浏览器插件
订阅小程序
在清言上使用

Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL(2024)

引用 0|浏览10
暂无评分
摘要
AI has revolutionized the way we interact with technology. Noteworthy advances in AI algorithms and large language models (LLM) have led to the development of natural generative language (NGL) systems such as ChatGPT. Although these LLM can simulate human conversations and generate content in real time, they face challenges related to the topicality and accuracy of the information they generate. This study aimed to assess whether ChatGPT-4 could provide accurate and reliable answers to general dentists in the field of oral surgery, and thus explore its potential as an intelligent virtual assistant in clinical decision making in oral surgery.Thirty questions related to oral surgery were posed to ChatGPT4, each question repeated 30 times. Subse-quently, a total of 900 responses were obtained. Two surgeons graded the answers according to the guidelines of the Spanish Society of Oral Surgery, using a three-point Likert scale (correct, partially correct/incomplete, and incorrect). Disagreements were arbitrated by an experienced oral surgeon, who provided the final grade Accu-racy was found to be 71.7%, and consistency of the experts' grading across iterations, ranged from moderate to almost perfect.ChatGPT-4, with its potential capabilities, will inevitably be integrated into dental disciplines, including oral surgery. In the future, it could be considered as an auxiliary intelligent virtual assistant, though it would never replace oral surgery experts. Proper training and verified information by experts will remain vital to the implementation of the technology. More comprehensive research is needed to ensure the safe and successful application of AI in oral surgery.
更多
查看译文
关键词
Oral surgery,Artificial Intelligence,ChatGPT,Open AI,Chatbot,Dentistry,Large language models,Natural generative language
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要