Industry 4.0

Author:

Shah Imdad Ali1ORCID,Jhanjhi N. Z.2ORCID,Ujjan Raja Majid Ali3

Affiliation:

1. Taylor's University, Malaysia

2. School of Computer Science, Taylor's University, Malaysia

3. School of Computing, Engineering, and Physical Sciences, Unversity of the West of Scotland, UK

Abstract

The primary objective of this chapter is to examine the AI applications for healthcare 4.0. Using a wide range of contemporary technologies, such as digitization, artificial intelligence, user response data (ergonomics), human psychology, the internet of things, machine learning, big data mining, and augmented reality, one of the great success stories of our day is healthcare. Worldwide life expectancy has increased due to the tremendous advancements in medical research. But when people live longer, healthcare systems must deal with more people needing their services, more money spent on them, and a staff that finds it more challenging to care for patients. A healthy, productive society depends heavily on the healthcare industry, making it one of the most critical industries in the larger big data environment. Artificial intelligence (AI), which builds on automation, has the potential to transform healthcare and assist in addressing some of the issues mentioned above. AI can support healthcare professionals, including physicians and nurses, in their day-to-day jobs. Artificial intelligence (AI) can improve patient outcomes by enhancing the quality of life and preventive care and producing more accurate diagnoses and treatment regimens. This book provides an overview of the most recent advancements in artificial intelligence (AI) applications in biomedicine, encompassing pharmaceutical processing, disease diagnosis, patient monitoring, biomedical information, and biomedical research. A summary of the most recent developments in the use of AI in healthcare is also provided, along with a road map for creating safe, dependable, and efficient AI systems and a discussion of potential future directions for AI-assisted healthcare systems. Numerous uses of AI exist in the medical field. Healthcare 4.0 has brought about a paradigm shift in the healthcare industry, drawing inspiration from Industry 4.0. Therefore, how the digital revolution in healthcare will affect the quality of medical care is still being determined. This study results will help the new researchers and healthcare institutions.

Publisher

IGI Global

Reference57 articles.

1. EVALUATING THE EFFECTIVENESS OF IT PROJECT MANAGEMENT IN HEALTHCARE DIGITALIZATION: A REVIEW

2. Delivering digital health: The barriers and facilitators to university-industry collaboration

3. One Digital Health s FAIR I. Applying the FAIR principles to accelerate health research in Europe in the post COVID-19 era: Proceedings of the 2021 EFMI special topic conference, Bhavsar, K. A., Singla, J., Al-Otaibi, Y. D., Song, O.-Y., Zikria, Y. B., & Bashir, A. K. (2021). Medical diagnosis using machine learning: a statistical review.;A.Benis;Computers, Materials & Continua,2021

4. From automated home to sustainable, healthy and manufacturing home: a new story enabled by the Internet-of-Things and Industry 4.0

5. Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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