{"title":"How Artificial Intelligence Can Revolutionize Evidence-Based Health Care: A Critical Commentary.","authors":"F Tamimi, K Jasim","doi":"10.1177/23800844251321839","DOIUrl":null,"url":null,"abstract":"<p><p>Evidence-based medicine (EBM) enhances clinical decision-making but faces implementation challenges, particularly in dentistry, where patient-specific complexities limit its effectiveness. This article examines EBM through the lens of Aristotelian logic, exploring its use of deductive and inductive reasoning and its limitations in addressing real-world variability. We then discuss how artificial intelligence (AI) can enhance EBM by synthesizing data, automating evidence appraisal, and generating personalized treatment insights. While AI offers a promising solution, it also presents challenges related to ethics, transparency, and reliability. Integrating AI into EBM requires careful consideration to ensure precise, adaptive, and patient-centered decision-making.Knowledge Transfer Statement:This commentary provides a critical discourse on the challenges of evidence-based medicine and how artificial intelligence could help address these shortcomings.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":" ","pages":"23800844251321839"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JDR Clinical & Translational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23800844251321839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Evidence-based medicine (EBM) enhances clinical decision-making but faces implementation challenges, particularly in dentistry, where patient-specific complexities limit its effectiveness. This article examines EBM through the lens of Aristotelian logic, exploring its use of deductive and inductive reasoning and its limitations in addressing real-world variability. We then discuss how artificial intelligence (AI) can enhance EBM by synthesizing data, automating evidence appraisal, and generating personalized treatment insights. While AI offers a promising solution, it also presents challenges related to ethics, transparency, and reliability. Integrating AI into EBM requires careful consideration to ensure precise, adaptive, and patient-centered decision-making.Knowledge Transfer Statement:This commentary provides a critical discourse on the challenges of evidence-based medicine and how artificial intelligence could help address these shortcomings.
期刊介绍：
JDR Clinical & Translational Research seeks to publish the highest quality research articles on clinical and translational research including all of the dental specialties and implantology. Examples include behavioral sciences, cariology, oral & pharyngeal cancer, disease diagnostics, evidence based health care delivery, human genetics, health services research, periodontal diseases, oral medicine, radiology, and pathology. The JDR Clinical & Translational Research expands on its research content by including high-impact health care and global oral health policy statements and systematic reviews of clinical concepts affecting clinical practice. Unique to the JDR Clinical & Translational Research are advances in clinical and translational medicine articles created to focus on research with an immediate potential to affect clinical therapy outcomes.
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