Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Methodol. Dec 20, 2023; 13(5): 384-389
Published online Dec 20, 2023. doi: 10.5662/wjm.v13.i5.384
New evidence-based practice: Artificial intelligence as a barrier breaker
Ricardo Maia Ferreira
Ricardo Maia Ferreira, Department of Sports and Exercise, Polytechnic Institute of Maia (N2i), Maia 4475-690, Porto, Portugal
Ricardo Maia Ferreira, Department of Physioterapy, Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra 3046-854, Coimbra, Portugal
Ricardo Maia Ferreira, Department of Physioterapy, Polytechnic Institute of Castelo Branco, Dr. Lopes Dias Health School, Castelo Branco 6000-767, Castelo Branco, Portugal
Ricardo Maia Ferreira, Sport Physical Activity and Health Research & Innovation Center, Polytechnic Institute of Viana do Castelo, Melgaço, 4960-320, Viana do Castelo, Portugal
Author contributions: Ferreira RM designed the manuscript.
Conflict-of-interest statement: Ricardo Maia Ferreira has no conflit of interest to declare.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ricardo Maia Ferreira, PhD, Professor, Sports and Exercise Department (N2i), Polytechnic Institute of Maia, Avenida Carlos de Oliveira Campos, Maia 4475-690, Porto, Portugal. rferreira@ipmaia.pt
Received: October 17, 2023
Peer-review started: October 17, 2023
First decision: October 24, 2023
Revised: October 24, 2023
Accepted: November 8, 2023
Article in press: November 8, 2023
Published online: December 20, 2023
Core Tip

Core Tip: Evidence-based practice principles remain crucial in clinical care. However, practical application faces challenges. The recent emergence of artificial intelligence offers solutions for the main barriers. Artificial intelligence can swiftly provide evidence, enhances clinical decision-making, combat patient misinformation, and improve clinical consultations. The integration of artificial intelligence into evidence-based practice represents a potential paradigm shift, requiring some adjustments to the core concept of evidence-based practice.