Potential Use of Artificial Intelligence in a Healthcare System

Author:

Agrawal Ojaskumar D.1ORCID,Madhavi Janvi S.1ORCID

Affiliation:

1. Vivekanand Education Society’s College of Pharmacy, Chembur [E], University of Mumbai, Mumbai 400 074, India

Abstract

Abstract: Artificial Intelligence (AI) is a swiftly evolving branch of technology that has been used to improve clinical practice, minimize errors, and boost safety and efficiency worldwide; in almost every field. AI is used for machine-learning algorithms and techniques to replicate human cognition in the assessment, display, and interpretation of complicated medical and healthcare data. AI is surfacing and producing a discernible shift in the healthcare system by expanding the availability of data in healthcare and speeding up the development of analysis tools. Additionally, AI and its applications in healthcare have evolved and proved to be a boon. The pharmaceutical business, health services, medical institutes, and patients, not only doctors use the applications but also dermatology, echocardiography, surgery, and angiography are only a few applications. AI can improve healthcare systems without hesitation. Automating time-consuming tasks can free up clinicians' schedules so they can encounter patients. It is causing a radical shift in healthcare, attributed to the increasing availability of healthcare data and the rapid advancement of advanced analytics. Screening, monitoring, and medical and clinical investigations are all made easier by AI. Despite some of the obstacles and limitations that AI faces, this new technology has enormous potential in the medical field. Regarding their reduced size, electronic devices have become more powerful as technology has progressed. Currently, the COVID – 19 pandemic is propelling the digital age to unprecedented heights. On multiple fronts, Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) are being employed to combat the pandemic.

Publisher

Bentham Science Publishers Ltd.

Subject

General Earth and Planetary Sciences,General Environmental Science

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