DIGITAL TECHNOLOGY, ARTIFICIAL INTELLIGENCE AND FUTURE OF MEDICAL EDUCATION

A. S. Malik
{"title":"DIGITAL TECHNOLOGY, ARTIFICIAL INTELLIGENCE AND FUTURE OF MEDICAL EDUCATION","authors":"A. S. Malik","doi":"10.37723/JUMDC.V12I2.622","DOIUrl":null,"url":null,"abstract":"One of the major challenges, which COVID-19 pandemic has presented to medical teachers, is to either readapt and transform their usual clinical teaching on real patients in such a way that there is a zero risk of transmission of SARS CoV-2 to any of the participants i.e. the patient, the students and the teacher or use alternate methods to teach clinical medicine. Consequently, the situation has led to the increased use of digital technology (DT) and an assortment of gadgets and tools along with artificial intelligence (AI) are being used increasingly to enhance teaching and learning activities. It is apparent that the DT and AI are also going to play a progressively substantial role in the examination, diagnosis and management of patients. This will have major implications to the field of medical education globally. Medical teachers are facing two vital challenges: how to use digital technologies in medical education, and how to be a medical teacher in a digital age. These challenges have become even more crucial as we are currently training the last generation of doctors who can remember a time before the Internet, the first who will learn in an environment dominated by digital technologies and the first who will practice in a predominantly e-health environment [1]. The educational goals of using technology in medical education include facilitating basic knowledge acquisition, improving decision making, enhancement of perceptual variation, improving skill coordination, practicing for rare or critical events, learning team training, and improving psychomotor skills. Different technologies can address these goals. The task of medical educators is to use these new technologies effectively to transform learning into a more collaborative, personalized, and empowering experience [2]. Digital technologies encompass the computing devices, software and network infrastructures. AI uses large data sets and identifies interaction patterns among variables. These techniques can discover previously unknown associations, generate novel hypotheses, and drive researchers and resources toward most fruitful directions [3]. Technologies such as podcasts and videos with flipped classrooms, mobile devices with apps, video games, simulations and wearable devices are some of the applications that are currently playing crucial roles in changing the educational environment [2]. Most of the physical examination is being replaced by technology and even positive findings on physical examination are re-confirmed by use of technology. Ultrasonography has become a routine examination in Obstetrics & Gynaecology, echocardiography is a must in every child with suspected congenital heart disease and there is no need to use physical examination skills to locate the site of lesion in CNS as CT scan and MRI will do it for you. AI is contributing momentously in making diagnoses by comparing patient data/photos with those stored in the massive data bank. Use of AI in making diagnosis of syndromes and skin diseases by","PeriodicalId":33713,"journal":{"name":"Journal of University Medical Dental College","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of University Medical Dental College","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37723/JUMDC.V12I2.622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

One of the major challenges, which COVID-19 pandemic has presented to medical teachers, is to either readapt and transform their usual clinical teaching on real patients in such a way that there is a zero risk of transmission of SARS CoV-2 to any of the participants i.e. the patient, the students and the teacher or use alternate methods to teach clinical medicine. Consequently, the situation has led to the increased use of digital technology (DT) and an assortment of gadgets and tools along with artificial intelligence (AI) are being used increasingly to enhance teaching and learning activities. It is apparent that the DT and AI are also going to play a progressively substantial role in the examination, diagnosis and management of patients. This will have major implications to the field of medical education globally. Medical teachers are facing two vital challenges: how to use digital technologies in medical education, and how to be a medical teacher in a digital age. These challenges have become even more crucial as we are currently training the last generation of doctors who can remember a time before the Internet, the first who will learn in an environment dominated by digital technologies and the first who will practice in a predominantly e-health environment [1]. The educational goals of using technology in medical education include facilitating basic knowledge acquisition, improving decision making, enhancement of perceptual variation, improving skill coordination, practicing for rare or critical events, learning team training, and improving psychomotor skills. Different technologies can address these goals. The task of medical educators is to use these new technologies effectively to transform learning into a more collaborative, personalized, and empowering experience [2]. Digital technologies encompass the computing devices, software and network infrastructures. AI uses large data sets and identifies interaction patterns among variables. These techniques can discover previously unknown associations, generate novel hypotheses, and drive researchers and resources toward most fruitful directions [3]. Technologies such as podcasts and videos with flipped classrooms, mobile devices with apps, video games, simulations and wearable devices are some of the applications that are currently playing crucial roles in changing the educational environment [2]. Most of the physical examination is being replaced by technology and even positive findings on physical examination are re-confirmed by use of technology. Ultrasonography has become a routine examination in Obstetrics & Gynaecology, echocardiography is a must in every child with suspected congenital heart disease and there is no need to use physical examination skills to locate the site of lesion in CNS as CT scan and MRI will do it for you. AI is contributing momentously in making diagnoses by comparing patient data/photos with those stored in the massive data bank. Use of AI in making diagnosis of syndromes and skin diseases by
数字技术、人工智能与医学教育的未来
新冠肺炎大流行给医学教师带来的主要挑战之一是,要么重新调整和改变他们对真实患者的常规临床教学,使SARS CoV-2传播给任何参与者(即患者、学生和教师)的风险为零,要么使用替代方法教授临床医学。因此,这种情况导致了数字技术(DT)的使用增加,各种小工具和工具以及人工智能(AI)越来越多地被用于加强教学活动。很明显,DT和AI也将在患者的检查、诊断和管理中发挥越来越重要的作用。这将对全球医学教育领域产生重大影响。医学教师面临着两个重大挑战:如何在医学教育中使用数字技术,以及如何在数字时代成为一名医学教师。这些挑战变得更加关键,因为我们目前正在培训最后一代医生,他们能够回忆起互联网之前的时光,第一代将在数字技术主导的环境中学习,第一代在以电子健康为主的环境中实践[1]。在医学教育中使用技术的教育目标包括促进基础知识的获取、改善决策、增强感知变异、改善技能协调、为罕见或关键事件进行练习、学习团队培训和提高心理运动技能。不同的技术可以实现这些目标。医学教育工作者的任务是有效地使用这些新技术,将学习转化为更具协作性、个性化和赋权的体验[2]。数字技术包括计算设备、软件和网络基础设施。人工智能使用大型数据集,并识别变量之间的交互模式。这些技术可以发现以前未知的关联,产生新的假设,并推动研究人员和资源朝着最富有成效的方向发展[3]。播客和带翻转教室的视频、带应用程序的移动设备、视频游戏、模拟和可穿戴设备等技术是目前在改变教育环境方面发挥关键作用的一些应用[2]。大多数体检正在被技术所取代,甚至体检的阳性结果也通过技术得到了重新确认。超声检查已成为妇产科的常规检查,超声心动图是每个疑似先天性心脏病儿童的必备检查,无需使用体格检查技能来定位中枢神经系统的病变部位,因为CT扫描和MRI会为您提供帮助。人工智能通过将患者数据/照片与存储在海量数据库中的数据/照片进行比较,在诊断方面做出了重大贡献。人工智能在综合征和皮肤病诊断中的应用
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
0.20
自引率
0.00%
发文量
32
审稿时长
24 weeks
×
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