生成式人工智能在医疗保健领域的兴起

M. Kuzlu, Zhenxin Xiao, S. Sarp, Ferhat Ozgur Catak, Necip Gurler, Ozgur Guler
{"title":"生成式人工智能在医疗保健领域的兴起","authors":"M. Kuzlu, Zhenxin Xiao, S. Sarp, Ferhat Ozgur Catak, Necip Gurler, Ozgur Guler","doi":"10.1109/MECO58584.2023.10155107","DOIUrl":null,"url":null,"abstract":"Generative Artificial Intelligence (GAI) is transforming various fields, including finance, education, marketing, and healthcare. Especially in healthcare, GAI has the potential to revolutionize various aspects, such as medical imaging, drug development, patient care, and treatment planning. Key stakeholders who stand to benefit from these advancements include hospitals, clinics, pharmaceutical companies, medical device manufacturers, and research institutions. However, the implementation of GAI in healthcare presents several challenges, such as ensuring data privacy and security, addressing ethical considerations, maintaining quality and accuracy, adhering to regulatory compliance, and integrating with existing systems. This paper examines the current state of GAI in healthcare, discusses its potential benefits and challenges, and highlights future directions that must be addressed to fully harness the power of GAI in improving patient outcomes and healthcare systems.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Rise of Generative Artificial Intelligence in Healthcare\",\"authors\":\"M. Kuzlu, Zhenxin Xiao, S. Sarp, Ferhat Ozgur Catak, Necip Gurler, Ozgur Guler\",\"doi\":\"10.1109/MECO58584.2023.10155107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generative Artificial Intelligence (GAI) is transforming various fields, including finance, education, marketing, and healthcare. Especially in healthcare, GAI has the potential to revolutionize various aspects, such as medical imaging, drug development, patient care, and treatment planning. Key stakeholders who stand to benefit from these advancements include hospitals, clinics, pharmaceutical companies, medical device manufacturers, and research institutions. However, the implementation of GAI in healthcare presents several challenges, such as ensuring data privacy and security, addressing ethical considerations, maintaining quality and accuracy, adhering to regulatory compliance, and integrating with existing systems. This paper examines the current state of GAI in healthcare, discusses its potential benefits and challenges, and highlights future directions that must be addressed to fully harness the power of GAI in improving patient outcomes and healthcare systems.\",\"PeriodicalId\":187825,\"journal\":{\"name\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 12th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO58584.2023.10155107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO58584.2023.10155107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生成式人工智能(GAI)正在改变包括金融、教育、营销和医疗保健在内的各个领域。特别是在医疗保健领域,GAI具有彻底改变各个方面的潜力,例如医学成像、药物开发、患者护理和治疗计划。从这些进步中受益的主要利益相关者包括医院、诊所、制药公司、医疗设备制造商和研究机构。然而,在医疗保健中实施GAI会带来一些挑战,例如确保数据隐私和安全、解决道德问题、保持质量和准确性、遵守法规遵从性以及与现有系统集成。本文研究了GAI在医疗保健中的现状,讨论了其潜在的好处和挑战,并强调了必须解决的未来方向,以充分利用GAI在改善患者结果和医疗保健系统中的力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Rise of Generative Artificial Intelligence in Healthcare
Generative Artificial Intelligence (GAI) is transforming various fields, including finance, education, marketing, and healthcare. Especially in healthcare, GAI has the potential to revolutionize various aspects, such as medical imaging, drug development, patient care, and treatment planning. Key stakeholders who stand to benefit from these advancements include hospitals, clinics, pharmaceutical companies, medical device manufacturers, and research institutions. However, the implementation of GAI in healthcare presents several challenges, such as ensuring data privacy and security, addressing ethical considerations, maintaining quality and accuracy, adhering to regulatory compliance, and integrating with existing systems. This paper examines the current state of GAI in healthcare, discusses its potential benefits and challenges, and highlights future directions that must be addressed to fully harness the power of GAI in improving patient outcomes and healthcare systems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信