Artificial Intelligence in Healthcare : A Review

Miss. Isha Anand Bhagat, Miss. Komal Gajanan Wankhede, Mr. Navoday Atul Kopawar, Prof. Dipali A. Sananse
{"title":"Artificial Intelligence in Healthcare : A Review","authors":"Miss. Isha Anand Bhagat, Miss. Komal Gajanan Wankhede, Mr. Navoday Atul Kopawar, Prof. Dipali A. Sananse","doi":"10.32628/ijsrset24114107","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatments and streamlining administrative tasks through advanced algorithms and machine learning. This review examines AI’s impact across various areas, including medical imaging, diagnostics, personalized medicine, drug discovery, patient monitoring, and surgical procedures. AI’s capacity to analyze complex medical data improves clinical decision-making, predicts patient outcomes, and optimizes hospital operations. AI offers significant benefits, including reduced diagnostic errors and lower healthcare costs. The future of AI in healthcare promises further innovations, such as robotic-assisted surgery, virtual patient care via remote consultations, and advanced health monitoring with wearable devices. Embracing AI not only enhances patient outcomes but also transforms medical research and administrative efficiency, paving the way for a more accessible and effective global healthcare system. Ongoing research and regulatory oversight are essential to fully harness AI’s potential while ensuring ethical standards and patient safety.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"48 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Research in Science, Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32628/ijsrset24114107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatments and streamlining administrative tasks through advanced algorithms and machine learning. This review examines AI’s impact across various areas, including medical imaging, diagnostics, personalized medicine, drug discovery, patient monitoring, and surgical procedures. AI’s capacity to analyze complex medical data improves clinical decision-making, predicts patient outcomes, and optimizes hospital operations. AI offers significant benefits, including reduced diagnostic errors and lower healthcare costs. The future of AI in healthcare promises further innovations, such as robotic-assisted surgery, virtual patient care via remote consultations, and advanced health monitoring with wearable devices. Embracing AI not only enhances patient outcomes but also transforms medical research and administrative efficiency, paving the way for a more accessible and effective global healthcare system. Ongoing research and regulatory oversight are essential to fully harness AI’s potential while ensuring ethical standards and patient safety.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能在医疗保健领域的应用 :回顾
人工智能(AI)通过先进的算法和机器学习提高诊断准确性、个性化治疗和简化管理任务,正在彻底改变医疗保健行业。本综述探讨了人工智能对各个领域的影响,包括医学成像、诊断、个性化医疗、药物研发、患者监护和外科手术。人工智能分析复杂医疗数据的能力可改善临床决策、预测患者预后并优化医院运营。人工智能具有显著的优势,包括减少诊断错误和降低医疗成本。人工智能在医疗保健领域的未来有望带来更多创新,例如机器人辅助手术、通过远程会诊为患者提供虚拟护理,以及利用可穿戴设备进行高级健康监测。拥抱人工智能不仅能提高患者的治疗效果,还能改变医学研究和管理效率,为建立一个更方便、更有效的全球医疗保健系统铺平道路。要充分利用人工智能的潜力,同时确保道德标准和患者安全,持续的研究和监管监督至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
UGC Guidelines on Sustainable and Vibrant University- Industry Linkage System for Indian Universities, 2024 Leachate as a Fertilizer Artificial Intelligence in Healthcare : A Review Advancements in Quadcopter Development through Additive Manufacturing: A Comprehensive Review Sensing Human Emotion using Emerging Machine Learning Techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1