Artificial Intelligence (AI) for Healthcare

Author:

Joshi Vijay D.1,Baral Sukanta Kumar2ORCID,Pitke Manish3,Dwyer Rocky J.4

Affiliation:

1. Dr. Ambedkar Institute of Management Studies and Research, India

2. Indira Gandhi National Tribal University, India

3. S.P. Mandali's Prin L.N Welingkar Institute of Management, India

4. College of Management and Human Potential, Walden University, Canada

Abstract

The present world and economy are driven by technological changes and innovation-keen individuals across all areas. Given the speed at which machine learning, AI, and deep learning have developed as of late, these new advances are without a doubt expected to influence how we live and work. One region where this worldview may stand apart today as well as in what is in store is the 'medical care and related management' that empowers the utilization of these technology-based tools and techniques to detect (identify), diagnose (conclude), handle information (processing of data), and examine (analysis of data) rapidly. The objective of this chapter is to provide the reader with an idea about the technological aspects (and their related components) involved in the healthcare services sector in India. This is specifically in the context of the use of artificial intelligence (AI) in the healthcare sector. This chapter outlines the fundamental ideas behind artificial intelligence (AI), as well as its various subtypes and medical-related applications.

Publisher

IGI Global

Reference48 articles.

1. Abantika, G. (2022, April 2). How AI is changing India’s healthcare — it is reading scans, predicting risks & a lot more. The Print. https://theprint.in/health/how-ai-is-changing-indias-healthcare-its-reading-scans-predicting-risks-a-lot-more/896495/

2. Medical 4.0 technologies for healthcare: Features, capabilities, and applications

3. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0

4. Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

5. Anderl, I. (2014, October 9). Industrie 4.0 – advanced engineering of smart products and smart production, technological innovations in product development. 19th International Seminar on High Technology, 1-14.

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