New Technologies for Teaching Anatomy (Preprint)

Author:

Bankar Maithili NandkishorORCID,Bankar Nandkishor JageshwarORCID,Gajbe Ujwal,Singh Brij RajORCID,Shambharkar ShwetaORCID,Bahadure SwetaORCID,Bandre Gulshan RupraoORCID,Bankar Swati NandkishorORCID,Shelke Yogendra PandurangORCID

Abstract

UNSTRUCTURED

Anatomy, a vital component of medical learning, probably has a long history of all components of formal medical education. Many medical schools have reduced anatomy education and cadaver dissections, as the number of bodies has far outnumbered the growing number of students. Virtual reality in medical teaching is used mainly to increase the efficiency of skill learning. Augmented reality, a rapidly evolving technology, can overlay virtual images onto the actual world, allowing students to see the body's internal structures in a more interactive way. AR-based programs are rapidly being used in medical education because of the adaptability of combining physical and virtual situations. Artificial intelligence can help students learn anatomy by providing personalized learning experiences. Algorithms of AI can analyze student performance data and provide feedback and recommendations to help improve their understanding of anatomy. 3D printed anatomical models can be used in a more tactile and interactive way. These models can be customized to show specific structures or pathologies, allowing students to see them in detail. Virtual dissection technology can provide a more ethical and sustainable alternative to traditional animal dissection. Online resources, Interactive software, haptic technologies, simulations, gamification, mobile apps, and social media can also be used for anatomy teaching if they are properly developed in collaboration with skilled software developers, and thus these technologies can provide more immersive and interactive learning experience, making anatomy education more accessible and enjoyable for students.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3