推进医科学生的放射学教育:利用数字工具和资源。

Polish journal of radiology Pub Date : 2024-10-22 eCollection Date: 2024-01-01 DOI:10.5114/pjr/193518
Thomas Stirrat, Robert Martin, Muhammad Umair, Joseph Waller
{"title":"推进医科学生的放射学教育:利用数字工具和资源。","authors":"Thomas Stirrat, Robert Martin, Muhammad Umair, Joseph Waller","doi":"10.5114/pjr/193518","DOIUrl":null,"url":null,"abstract":"<p><p>This study evaluates diverse educational resources to address the gaps in diagnostic radiology education for medical students, aiming to identify tools that enhance theoretical knowledge and practical diagnostic skills. Employing a multi-faceted review, we analyzed digital platforms, academic databases, and social media for resources beneficial to medical students in radiology, assessing their accessibility, content quality, and educational value. Our investigation uncovered a broad spectrum of resources, from foundational platforms to advanced simulation tools, varying in their approach to teaching radiology. Traditional resources provide essential theoretical knowledge, while digital tools, including interactive case studies and multimedia content, offer immersive learning experiences. Notably, resources integrating machine learning and social media facilitate dynamic, peer-to-peer learning and up-to-date case discussions. Despite the minimal current focus on VR, its role in enhancing interactive learning is notable. The diversity in educational tools highlights the evolving nature of radiology education, reflecting a shift towards more engaging and practical learning methodologies. Identifying and integrating a variety of educational resources into radiology education can significantly enhance learning outcomes for medical students, preparing them for the complexities of modern diagnostic radiology with a well-rounded educational approach.</p>","PeriodicalId":94174,"journal":{"name":"Polish journal of radiology","volume":"89 ","pages":"e508-e516"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538907/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advancing radiology education for medical students: leveraging digital tools and resources.\",\"authors\":\"Thomas Stirrat, Robert Martin, Muhammad Umair, Joseph Waller\",\"doi\":\"10.5114/pjr/193518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study evaluates diverse educational resources to address the gaps in diagnostic radiology education for medical students, aiming to identify tools that enhance theoretical knowledge and practical diagnostic skills. Employing a multi-faceted review, we analyzed digital platforms, academic databases, and social media for resources beneficial to medical students in radiology, assessing their accessibility, content quality, and educational value. Our investigation uncovered a broad spectrum of resources, from foundational platforms to advanced simulation tools, varying in their approach to teaching radiology. Traditional resources provide essential theoretical knowledge, while digital tools, including interactive case studies and multimedia content, offer immersive learning experiences. Notably, resources integrating machine learning and social media facilitate dynamic, peer-to-peer learning and up-to-date case discussions. Despite the minimal current focus on VR, its role in enhancing interactive learning is notable. The diversity in educational tools highlights the evolving nature of radiology education, reflecting a shift towards more engaging and practical learning methodologies. Identifying and integrating a variety of educational resources into radiology education can significantly enhance learning outcomes for medical students, preparing them for the complexities of modern diagnostic radiology with a well-rounded educational approach.</p>\",\"PeriodicalId\":94174,\"journal\":{\"name\":\"Polish journal of radiology\",\"volume\":\"89 \",\"pages\":\"e508-e516\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538907/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polish journal of radiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5114/pjr/193518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish journal of radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/pjr/193518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究评估了各种教育资源,以弥补医科学生在放射诊断学教育方面的不足,旨在找出能提高理论知识和实际诊断技能的工具。通过多方面的审查,我们分析了数字平台、学术数据库和社交媒体中对放射学医学生有益的资源,评估了它们的可访问性、内容质量和教育价值。我们的调查发现,从基础平台到高级模拟工具,各种资源的放射学教学方法各不相同。传统资源提供基本理论知识,而数字工具,包括互动案例研究和多媒体内容,则提供身临其境的学习体验。值得注意的是,整合了机器学习和社交媒体的资源促进了动态的点对点学习和最新的病例讨论。尽管目前对虚拟现实技术的关注极少,但它在增强互动学习方面的作用是显著的。教育工具的多样性凸显了放射学教育不断发展的本质,反映了向更具参与性和实用性学习方法的转变。将各种教育资源确定并整合到放射学教育中,可以显著提高医学生的学习成果,以全面的教育方法让他们为现代放射诊断学的复杂性做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing radiology education for medical students: leveraging digital tools and resources.

This study evaluates diverse educational resources to address the gaps in diagnostic radiology education for medical students, aiming to identify tools that enhance theoretical knowledge and practical diagnostic skills. Employing a multi-faceted review, we analyzed digital platforms, academic databases, and social media for resources beneficial to medical students in radiology, assessing their accessibility, content quality, and educational value. Our investigation uncovered a broad spectrum of resources, from foundational platforms to advanced simulation tools, varying in their approach to teaching radiology. Traditional resources provide essential theoretical knowledge, while digital tools, including interactive case studies and multimedia content, offer immersive learning experiences. Notably, resources integrating machine learning and social media facilitate dynamic, peer-to-peer learning and up-to-date case discussions. Despite the minimal current focus on VR, its role in enhancing interactive learning is notable. The diversity in educational tools highlights the evolving nature of radiology education, reflecting a shift towards more engaging and practical learning methodologies. Identifying and integrating a variety of educational resources into radiology education can significantly enhance learning outcomes for medical students, preparing them for the complexities of modern diagnostic radiology with a well-rounded educational approach.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
0
×
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