• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

循证医学:过去、现在与未来。

Evidence-Based Medicine: Past, Present, Future.

作者信息

Triposkiadis Filippos, Brutsaert Dirk L

机构信息

Department of Cardiology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, 41500 Larissa, Greece.

Department of Cardiology, European University Cyprus, 1516 Nicosia, Cyprus.

出版信息

J Clin Med. 2025 Jul 17;14(14):5094. doi: 10.3390/jcm14145094.

DOI:10.3390/jcm14145094
PMID:40725787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12295464/
Abstract

Early medical traditions include those of ancient Babylonia, China, Egypt, and India. The roots of modern Western medicine, however, go back to ancient Greece. During the Renaissance, physicians increasingly relied on observation and experimentation to understand the human body and develop new techniques for diagnosis and treatment. The discovery of antibiotics, antiseptics, and other drugs in the 19th century accelerated the development of modern medicine, the latter being fueled further by advances in technology, research, a better understanding of the human body, and, most recently, the introduction of evidence-based medicine (EBM). The EBM model de-emphasized intuition, unsystematic clinical experience, and pathophysiologic rationale as sufficient grounds for clinical decision-making and stressed the examination of evidence from clinical research. A later EBM model additionally incorporated clinical expertise and the latest model of EBM patients' preferences and actions. In this review article, we argue that in the era of precision medicine, major EBM principles must be based on (a) the systematic identification, analysis, and utility of big data using artificial intelligence; (b) the magnifying effect of medical interventions by means of the physician-patient interaction, the latter being guided by the physician's expertise, intuition, and philosophical beliefs; and (c) the patient preferences, since, in healthcare under precision medicine, the patient will be a central stakeholder contributing data and actively participating in shared decision-making.

摘要

早期的医学传统包括古代巴比伦、中国、埃及和印度的传统。然而,现代西方医学的根源可以追溯到古希腊。在文艺复兴时期,医生越来越依赖观察和实验来了解人体,并开发新的诊断和治疗技术。19世纪抗生素、防腐剂和其他药物的发现加速了现代医学的发展,技术进步、研究进展、对人体的更深入了解,以及最近循证医学(EBM)的引入,进一步推动了现代医学的发展。循证医学模式不再强调将直觉、非系统的临床经验和病理生理原理作为临床决策的充分依据,而是强调对临床研究证据的审查。后来的循证医学模式还纳入了临床专业知识以及患者偏好和行为的最新模式。在这篇综述文章中,我们认为在精准医学时代,循证医学的主要原则必须基于:(a)利用人工智能对大数据进行系统的识别、分析和应用;(b)通过医患互动增强医疗干预的效果,而这种互动由医生的专业知识、直觉和哲学信念引导;(c)患者的偏好,因为在精准医学的医疗保健中,患者将是提供数据并积极参与共同决策的核心利益相关者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/3ca18f7a8de2/jcm-14-05094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/f181ea19afe9/jcm-14-05094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/37f46664f5d8/jcm-14-05094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/7c76856003cf/jcm-14-05094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/3ca18f7a8de2/jcm-14-05094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/f181ea19afe9/jcm-14-05094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/37f46664f5d8/jcm-14-05094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/7c76856003cf/jcm-14-05094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cabd/12295464/3ca18f7a8de2/jcm-14-05094-g004.jpg

相似文献

1
Evidence-Based Medicine: Past, Present, Future.循证医学:过去、现在与未来。
J Clin Med. 2025 Jul 17;14(14):5094. doi: 10.3390/jcm14145094.
2
Sexual Harassment and Prevention Training性骚扰与预防培训
3
Interventions for providers to promote a patient-centred approach in clinical consultations.为医疗服务提供者提供的干预措施,以促进临床会诊中以患者为中心的方法。
Cochrane Database Syst Rev. 2012 Dec 12;12(12):CD003267. doi: 10.1002/14651858.CD003267.pub2.
4
The Black Book of Psychotropic Dosing and Monitoring.《精神药物剂量与监测黑皮书》
Psychopharmacol Bull. 2024 Jul 8;54(3):8-59.
5
Interventions to improve safe and effective medicines use by consumers: an overview of systematic reviews.改善消费者安全有效用药的干预措施:系统评价概述
Cochrane Database Syst Rev. 2014 Apr 29;2014(4):CD007768. doi: 10.1002/14651858.CD007768.pub3.
6
Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences.社区居住的老年人跌倒预防干预措施:系统评价和荟萃分析的益处、危害以及患者的价值观和偏好。
Syst Rev. 2024 Nov 26;13(1):289. doi: 10.1186/s13643-024-02681-3.
7
Feasibility, acceptability and appropriateness of laparoscopic versus abdominal hysterectomy for women and healthcare professionals: the LAVA trial qualitative process evaluation.腹腔镜子宫切除术与腹式子宫切除术对女性和医护人员的可行性、可接受性及适宜性:LAVA试验定性过程评估
Health Technol Assess. 2025 Jul 23:1-21. doi: 10.3310/GJTC1325.
8
Evidence-based toxicology: a comprehensive framework for causation.循证毒理学:因果关系的综合框架。
Hum Exp Toxicol. 2005 Apr;24(4):161-201. doi: 10.1191/0960327105ht517oa.
9
Conceptual framework and systematic review of the effects of participants' and professionals' preferences in randomised controlled trials.随机对照试验中参与者和专业人员偏好影响的概念框架与系统评价
Health Technol Assess. 2005 Sep;9(35):1-186, iii-iv. doi: 10.3310/hta9350.
10
Shared decision-making interventions for people with mental health conditions.心理健康问题患者的共同决策干预措施。
Cochrane Database Syst Rev. 2022 Nov 11;11(11):CD007297. doi: 10.1002/14651858.CD007297.pub3.

本文引用的文献

1
Generative-AI-Based Approaches for Information Extraction from Clinical Notes: A Scoping Review.基于生成式人工智能的临床记录信息提取方法:一项范围综述
Stud Health Technol Inform. 2025 Jun 26;328:193-197. doi: 10.3233/SHTI250700.
2
Medical digital twins: enabling precision medicine and medical artificial intelligence.医学数字孪生:推动精准医学与医学人工智能发展
Lancet Digit Health. 2025 Jun 14:100864. doi: 10.1016/j.landig.2025.02.004.
3
Primer on large language models: an educational overview for intensivists.大语言模型入门:重症医学专家的教育概述
Crit Care. 2025 Jun 12;29(1):238. doi: 10.1186/s13054-025-05479-4.
4
Advancing large language models as patient education tools for inflammatory bowel disease.推进大型语言模型作为炎症性肠病的患者教育工具。
World J Gastroenterol. 2025 May 28;31(20):105285. doi: 10.3748/wjg.v31.i20.105285.
5
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial.GPT-4辅助改善医生在患者护理任务中的表现:一项随机对照试验。
Nat Med. 2025 Apr;31(4):1233-1238. doi: 10.1038/s41591-024-03456-y. Epub 2025 Feb 5.
6
Medical Digital Twin: A Review on Technical Principles and Clinical Applications.医学数字孪生:技术原理与临床应用综述
J Clin Med. 2025 Jan 7;14(2):324. doi: 10.3390/jcm14020324.
7
Large language models in patient education: a scoping review of applications in medicine.用于患者教育的大语言模型:医学应用的范围综述
Front Med (Lausanne). 2024 Oct 29;11:1477898. doi: 10.3389/fmed.2024.1477898. eCollection 2024.
8
The placebo effect of sham rhinologic procedures in randomized controlled trials: A systematic review and meta-analysis.随机对照试验中假鼻科手术的安慰剂效应:一项系统评价与荟萃分析。
Int Forum Allergy Rhinol. 2024 Dec;14(12):1929-1933. doi: 10.1002/alr.23421. Epub 2024 Jul 31.
9
The limitations of evidence-based medicine compel the practice of personalized medicine.循证医学的局限性促使个性化医疗的实践。
Intensive Care Med. 2024 Aug;50(8):1323-1326. doi: 10.1007/s00134-024-07528-y. Epub 2024 Jun 27.
10
Medical Artificial Intelligence and Human Values.医学人工智能与人类价值观
N Engl J Med. 2024 May 30;390(20):1895-1904. doi: 10.1056/NEJMra2214183.