How Artificial Intelligence Can Revolutionize Evidence-Based Health Care: A Critical Commentary

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.

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Journal
JDR Clinical & Translational Research
Published
2025-03-11
DOI
https://doi.org/10.1177/23800844251321839
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

How Artificial Intelligence Can Revolutionize Evidence-Based Health Care: A Critical Commentary

Faleh Tamimi, Kawthar Jasim
JDR Clinical & Translational Research
Artificial Intelligence in Healthcare and Education
article

How Artificial Intelligence Can Revolutionize Evidence-Based Health Care: A Critical Commentary

Faleh Tamimi, Kawthar Jasim
article en

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.

JDR Clinical & Translational ResearchVol. 11(1)
Qatar University (QA)
Peace, Justice and strong institutions
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare and Education
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How Artificial Intelligence Can Revolutionize Evidence-Based Health Care: A Critical Commentary — Faleh Tamimi, Kawthar Jasim · JDR Clinical & Translational Research (2025) | TGRS Research Map | TGRS