教育下一代放射科医生:ChatGPT 和电子学习资源比较报告。

IF 1.4 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Diagnostic and interventional radiology Pub Date : 2024-05-13 Epub Date: 2023-12-25 DOI:10.4274/dir.2023.232496
İsmail Meşe, Ceylan Altıntaş Taşlıçay, Beyza Nur Kuzan, Taha Yusuf Kuzan, Ali Kemal Sivrioğlu
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引用次数: 0

摘要

技术的飞速发展改变了医学教育,尤其是依赖先进成像和可视数据的放射学。长期以来,传统的电子学习(e-learning)平台一直是放射学教育的基石,提供丰富的可视化内容、互动环节和同行评审材料。它们擅长教授复杂的概念和技术,这些概念和技术需要图像解读和程序演示等可视化辅助工具。然而,人工智能(AI)驱动的语言模型 Chat Generative Pre-Trained Transformer(ChatGPT)已在放射学教育中崭露头角。它可以生成学习评估、创建课程计划、充当全天候虚拟辅导员、增强批判性思维、翻译材料以便更广泛地使用、总结大量信息,并为包括放射学在内的任何学科提供实时反馈。人们对 ChatGPT 的数据准确性、时效性和潜在偏差表示担忧,尤其是在放射学等专业领域。然而,电子学习内容的质量、可访问性和时效性也可能不尽如人意。为了加强放射学住院医师的教育之旅,必须将 ChatGPT 与专家编辑的电子学习资源整合起来,以确保准确性和可靠性,并解决伦理问题。虽然人工智能不可能完全取代传统的放射学学习方法,但人工智能与传统电子学习的协同结合可以创造出一种全面的教育体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources

Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence (AI)-powered language model, has made its mark in radiology education. It can generate learning assessments, create lesson plans, act as a round-the-clock virtual tutor, enhance critical thinking, translate materials for broader accessibility, summarize vast amounts of information, and provide real-time feedback for any subject, including radiology. Concerns have arisen regarding ChatGPT's data accuracy, currency, and potential biases, especially in specialized fields such as radiology. However, the quality, accessibility, and currency of e-learning content can also be imperfect. To enhance the educational journey for radiology residents, the integration of ChatGPT with expert-curated e-learning resources is imperative for ensuring accuracy and reliability and addressing ethical concerns. While AI is unlikely to entirely supplant traditional radiology study methods, the synergistic combination of AI with traditional e-learning can create a holistic educational experience.

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来源期刊
Diagnostic and interventional radiology
Diagnostic and interventional radiology Medicine-Radiology, Nuclear Medicine and Imaging
自引率
4.80%
发文量
0
期刊介绍: Diagnostic and Interventional Radiology (Diagn Interv Radiol) is the open access, online-only official publication of Turkish Society of Radiology. It is published bimonthly and the journal’s publication language is English. The journal is a medium for original articles, reviews, pictorial essays, technical notes related to all fields of diagnostic and interventional radiology.
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