米勒-费舍尔规则与数字医疗:两全其美。

IF 2.2 3区 医学 Q3 CLINICAL NEUROLOGY Cerebrovascular Diseases Pub Date : 2024-05-29 DOI:10.1159/000539323
Joao Brainer Andrade, George Nunes Mendes, Gisele Sampaio Silva
{"title":"米勒-费舍尔规则与数字医疗:两全其美。","authors":"Joao Brainer Andrade, George Nunes Mendes, Gisele Sampaio Silva","doi":"10.1159/000539323","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Professor Fisher's legacy, defined by meticulous observation, curiosity, and profound knowledge, has established a foundational cornerstone in medical practice. However, the advent of automated algorithms and artificial intelligence (AI) in medicine raises questions about the applicability of Fisher's principles in this era. Our objective was to propose adaptations to these enduring rules, addressing the challenges and leveraging the opportunities presented by digital health.</p><p><strong>Summary: </strong>The adapted rules we propose advocate for the harmonious integration of traditional bedside manners with contemporary technological advancements. The judicious use of advanced devices for patient examination, recording, and sharing, while upholding patient confidentiality, is pivotal in modern practice and academic research. Additionally, the strategic employment of AI tools at the bedside, to aid in diagnosis and hypothesis generation, underscores their role as valued complements to clinical reasoning. These adapted rules emphasize the importance of continual learning from experience, literature, and colleagues, and stress the necessity for a critical approach toward AI-derived information, which further consolidates clinical skills. These aspects underscore the perpetual relevance of Professor Fisher's rules, advocating not for their replacement but for their evolution. Thus, a balanced methodology that adeptly utilizes the strengths of AI and digital tools, while steadfastly maintaining the core humanistic values, arises as essential in the modern practice of medicine.</p><p><strong>Key messages: </strong>A commitment between traditional medical wisdom and modern technological capabilities may enhance medical practice and patient care. This represents the future of medicine - a resolute commitment to progress and technology, while preserving the essence of medical humanities.</p>","PeriodicalId":9683,"journal":{"name":"Cerebrovascular Diseases","volume":" ","pages":"1-8"},"PeriodicalIF":2.2000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Miller Fisher's Rules and Digital Health: The Best of Both Worlds.\",\"authors\":\"Joao Brainer Andrade, George Nunes Mendes, Gisele Sampaio Silva\",\"doi\":\"10.1159/000539323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Professor Fisher's legacy, defined by meticulous observation, curiosity, and profound knowledge, has established a foundational cornerstone in medical practice. However, the advent of automated algorithms and artificial intelligence (AI) in medicine raises questions about the applicability of Fisher's principles in this era. Our objective was to propose adaptations to these enduring rules, addressing the challenges and leveraging the opportunities presented by digital health.</p><p><strong>Summary: </strong>The adapted rules we propose advocate for the harmonious integration of traditional bedside manners with contemporary technological advancements. The judicious use of advanced devices for patient examination, recording, and sharing, while upholding patient confidentiality, is pivotal in modern practice and academic research. Additionally, the strategic employment of AI tools at the bedside, to aid in diagnosis and hypothesis generation, underscores their role as valued complements to clinical reasoning. These adapted rules emphasize the importance of continual learning from experience, literature, and colleagues, and stress the necessity for a critical approach toward AI-derived information, which further consolidates clinical skills. These aspects underscore the perpetual relevance of Professor Fisher's rules, advocating not for their replacement but for their evolution. Thus, a balanced methodology that adeptly utilizes the strengths of AI and digital tools, while steadfastly maintaining the core humanistic values, arises as essential in the modern practice of medicine.</p><p><strong>Key messages: </strong>A commitment between traditional medical wisdom and modern technological capabilities may enhance medical practice and patient care. This represents the future of medicine - a resolute commitment to progress and technology, while preserving the essence of medical humanities.</p>\",\"PeriodicalId\":9683,\"journal\":{\"name\":\"Cerebrovascular Diseases\",\"volume\":\" \",\"pages\":\"1-8\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cerebrovascular Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000539323\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebrovascular Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000539323","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景费舍尔教授以其细致入微的观察、好奇心和渊博的知识为医学实践奠定了基石。然而,医学中自动算法和人工智能的出现,使人们对费雪原则在这个时代的适用性产生了疑问。我们的目标是对这些经久不衰的规则提出调整建议,以应对挑战并利用数字医疗带来的机遇。摘要 我们提出的调整规则主张将传统的床边礼仪与当代的技术进步和谐地结合起来。在维护患者隐私的同时,合理使用先进设备对患者进行检查、记录和共享,这在现代实践和学术研究中至关重要。此外,在床边战略性地使用人工智能工具来辅助诊断和提出假设,也凸显了其作为临床推理的重要补充的作用。这些经过调整的规则强调了从经验、文献和同事那里不断学习的重要性,并强调了对人工智能衍生信息采取批判性方法的必要性,这进一步巩固了临床技能。这些方面都强调了费舍尔教授规则的永恒相关性,不是要取代这些规则,而是要发展这些规则。因此,在现代医学实践中,既要善于利用人工智能和数字工具的优势,又要坚定不移地维护核心人文价值,这样一种平衡的方法至关重要。重要信息 传统医学智慧与现代技术能力之间的结合可以提高医疗实践和患者护理水平。这代表着医学的未来--坚定地致力于进步和技术,同时保留医学人文的精髓。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Miller Fisher's Rules and Digital Health: The Best of Both Worlds.

Background: Professor Fisher's legacy, defined by meticulous observation, curiosity, and profound knowledge, has established a foundational cornerstone in medical practice. However, the advent of automated algorithms and artificial intelligence (AI) in medicine raises questions about the applicability of Fisher's principles in this era. Our objective was to propose adaptations to these enduring rules, addressing the challenges and leveraging the opportunities presented by digital health.

Summary: The adapted rules we propose advocate for the harmonious integration of traditional bedside manners with contemporary technological advancements. The judicious use of advanced devices for patient examination, recording, and sharing, while upholding patient confidentiality, is pivotal in modern practice and academic research. Additionally, the strategic employment of AI tools at the bedside, to aid in diagnosis and hypothesis generation, underscores their role as valued complements to clinical reasoning. These adapted rules emphasize the importance of continual learning from experience, literature, and colleagues, and stress the necessity for a critical approach toward AI-derived information, which further consolidates clinical skills. These aspects underscore the perpetual relevance of Professor Fisher's rules, advocating not for their replacement but for their evolution. Thus, a balanced methodology that adeptly utilizes the strengths of AI and digital tools, while steadfastly maintaining the core humanistic values, arises as essential in the modern practice of medicine.

Key messages: A commitment between traditional medical wisdom and modern technological capabilities may enhance medical practice and patient care. This represents the future of medicine - a resolute commitment to progress and technology, while preserving the essence of medical humanities.

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
Cerebrovascular Diseases
Cerebrovascular Diseases 医学-临床神经学
CiteScore
4.50
自引率
0.00%
发文量
90
审稿时长
1 months
期刊介绍: A rapidly-growing field, stroke and cerebrovascular research is unique in that it involves a variety of specialties such as neurology, internal medicine, surgery, radiology, epidemiology, cardiology, hematology, psychology and rehabilitation. ''Cerebrovascular Diseases'' is an international forum which meets the growing need for sophisticated, up-to-date scientific information on clinical data, diagnostic testing, and therapeutic issues, dealing with all aspects of stroke and cerebrovascular diseases. It contains original contributions, reviews of selected topics and clinical investigative studies, recent meeting reports and work-in-progress as well as discussions on controversial issues. All aspects related to clinical advances are considered, while purely experimental work appears if directly relevant to clinical issues.
期刊最新文献
Association of the Brain White Matter Hyperintensity with the Cognitive Performance in Middle-Aged Population. Pre-Stroke Frailty Negatively Affects Leptomeningeal Collateral Flow in Proximal Middle Cerebral Artery Occlusion. THE IMPACT OF VASCULAR RISK FACTORS ON CEREBRAL AMYLOID ANGIOPATHY: A COHORT STUDY IN HEREDITARY CAA AND A SYSTEMATIC REVIEW IN SPORADIC CAA. Utilising retinal phenotypes to predict cerebrovascular disease and detect related risk factors in multi-ethnic populations: a narrative review. Exploring Perceived Gender Disparities in Latin America's Vascular Neurology Workforce: Insights from a Survey-Based Study.
×
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