Artificial Intelligence in anesthesia: Biotechnology applications for optimal patient outcomes

Author:

Banerjee Shramana1,Abhishek H.N.2,Gupta Priyanka3,Patel Abhishek Pravin4,Kant Krishan5,Shetti Akshaya N6

Affiliation:

1. Healthworld Hospitals, Durgapur, West Bengal, India

2. Department of Anaesthesiology, Vydehi Institute of Medical Sciences, Bangalore, Karnataka, India

3. Department of Anaesthesia S.R.V.S Medical College Shivpuri, Madhya Pradesh, India

4. K M Shah, Dental College and Hospital, Vadadora, Gujrat, India

5. Department of Periodontics PGIDS, Rohtak, Haryana, India

6. Department of Anaesthesiology and Critical Care, DBVPRMC, PIMS (DU) Loni, Maharashtra, India

Abstract

Artificial intelligence (AI) is revolutionizing various fields of medicine, and anesthesia is no exception. AI in anesthesia is not only streamlining the work of anesthesiologists but also improving patient outcomes. The integration of biotechnology and AI has created opportunities for personalized care in anesthesia, with the aim of optimizing patient outcomes. The use of biotechnology in conjunction with AI has further expanded the possibilities in anesthesia care. Biotechnology tools such as genomics and proteomics can provide insights into individual patient responses to anesthesia drugs, enabling personalized drug dosing and reducing the risk of adverse events. Similarly, the use of biosensors and wearable devices can provide continuous monitoring of vital signs and other physiological parameters, allowing for real-time adjustments to anesthesia care. In future the integration of AI and biotechnology in anesthesia care has the potential to transform the field of anesthesia and improve patient outcomes. The development of personalized care plans and the early identification of at-risk patients can lead to a safer and more efficient anesthesia experience for patients.

Publisher

IOS Press

Subject

Molecular Biology,Applied Microbiology and Biotechnology,Biotechnology

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