Evaluation and Comparison of the Knowledge Levels of Current Artificial Intelligence Programs on Retinal/Vitreous Diseases and Treatment Methods.

IF 1.2 Q3 OPHTHALMOLOGY
Journal of Current Ophthalmology Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.4103/joco.joco_192_23
Eyupcan Sensoy, Mehmet Citirik
{"title":"Evaluation and Comparison of the Knowledge Levels of Current Artificial Intelligence Programs on Retinal/Vitreous Diseases and Treatment Methods.","authors":"Eyupcan Sensoy, Mehmet Citirik","doi":"10.4103/joco.joco_192_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the answers to multiple-choice questions about retina and vitreous diseases and treatment modalities of Chat Generative Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence chatbots, examining the level of knowledge about these subjects, and investigating the existence of their superiority over each other.</p><p><strong>Methods: </strong>Forty-six questions related to retinal and vitreous diseases and treatment modalities were asked to ChatGPT, Bing, and Bard chatbots.</p><p><strong>Results: </strong>The Bing artificial intelligence chatbot correctly answered 76.1% of the questions. ChatGPT and Bard artificial intelligence chatbots correctly answered 60.9% of the questions. No statistically significant difference was observed between the rates of correct and incorrect answers to the questions on the three artificial intelligence chatbots (<i>P</i> = 0.206).</p><p><strong>Conclusions: </strong>Artificial intelligence chatbots can be used to access accurate information about retinal and vitreous diseases and treatment modalities. However, the information obtained may not always be correct, and care should be taken about its use and results.</p>","PeriodicalId":15423,"journal":{"name":"Journal of Current Ophthalmology","volume":"36 1","pages":"78-81"},"PeriodicalIF":1.2000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567598/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Current Ophthalmology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/joco.joco_192_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: To evaluate the answers to multiple-choice questions about retina and vitreous diseases and treatment modalities of Chat Generative Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence chatbots, examining the level of knowledge about these subjects, and investigating the existence of their superiority over each other.

Methods: Forty-six questions related to retinal and vitreous diseases and treatment modalities were asked to ChatGPT, Bing, and Bard chatbots.

Results: The Bing artificial intelligence chatbot correctly answered 76.1% of the questions. ChatGPT and Bard artificial intelligence chatbots correctly answered 60.9% of the questions. No statistically significant difference was observed between the rates of correct and incorrect answers to the questions on the three artificial intelligence chatbots (P = 0.206).

Conclusions: Artificial intelligence chatbots can be used to access accurate information about retinal and vitreous diseases and treatment modalities. However, the information obtained may not always be correct, and care should be taken about its use and results.

评估和比较当前人工智能程序对视网膜/玻璃体疾病和治疗方法的了解程度。
目的:评估 Chat Generative Pre-Trained Transformer(ChatGPT)、Bard 和 Bing 人工智能聊天机器人对有关视网膜和玻璃体疾病及治疗方式的多选题的回答,考察它们对这些主题的了解程度,并研究它们之间是否存在优劣势:向 ChatGPT、Bing 和 Bard 聊天机器人提出了 46 个与视网膜和玻璃体疾病及治疗方法相关的问题:结果:Bing 人工智能聊天机器人正确回答了 76.1% 的问题。ChatGPT 和 Bard 人工智能聊天机器人正确回答了 60.9% 的问题。三个人工智能聊天机器人回答问题的正确率和错误率在统计学上没有明显差异(P = 0.206):人工智能聊天机器人可用于获取有关视网膜和玻璃体疾病及治疗方法的准确信息。结论:人工智能聊天机器人可用于获取有关视网膜和玻璃体疾病及治疗方式的准确信息,但所获取的信息不一定总是正确的,因此应谨慎使用并注意其结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.50
自引率
6.70%
发文量
45
审稿时长
8 weeks
期刊介绍: Peer Review under the responsibility of Iranian Society of Ophthalmology Journal of Current Ophthalmology, the official publication of the Iranian Society of Ophthalmology, is a peer-reviewed, open-access, scientific journal that welcomes high quality original articles related to vision science and all fields of ophthalmology. Journal of Current Ophthalmology is the continuum of Iranian Journal of Ophthalmology published since 1969.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信