Publication Name	World Journal of Methodology
Manuscript ID	88999
Country	Portugal

Received	2023-10-17 14:35
Peer-Review Started	2023-10-17 14:37
To Make the First Decision
Return for Revision	2023-10-24 09:20
Revised	2023-10-24 14:21
Second Decision	2023-11-03 09:21
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2023-11-08 05:53
Articles in Press	2023-11-08 05:53
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2023-11-29 10:57
Publish the Manuscript Online	2023-12-20 14:52

ISSN	2222-0682 (online)
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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Medicine, Research & Experimental
Manuscript Type	Editorial
Article Title	New evidence-based practice: Artificial intelligence as a barrier breaker
Manuscript Source	Invited Manuscript
All Author List	Ricardo Maia Ferreira
ORCID	Author(s) ORCID Number Ricardo Maia Ferreira http://orcid.org/0000-0003-1596-9685
Funding Agency and Grant Number
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
Key Words	Evidence; Clinicians; Patients; Artificial intelligence; Evidence-based practice
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.
Publish Date	2023-12-20 14:52
Citation	Ferreira RM. New evidence-based practice: Artificial intelligence as a barrier breaker. World J Methodol 2023; 13(5): 384-389
URL	https://www.wjgnet.com/2222-0682/full/v13/i5/384.htm
DOI	https://dx.doi.org/10.5662/wjm.v13.i5.384

Full Article (PDF)	WJM-13-384-with-cover.pdf
Full Article (Word)	WJM-13-384.docx
Manuscript File	88999_Auto_Edited-LJH-JLW.docx
Answering Reviewers	88999-Answering reviewers.pdf
Audio Core Tip	88999-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	88999-Conflict-of-interest statement.pdf
Copyright License Agreement	88999-Copyright license agreement.pdf
Peer-review Report	88999-Peer-review(s).pdf
Scientific Misconduct Check	88999-Bing-Liu JH-2.png
Scientific Misconduct Check	88999-CrossCheck.png
Scientific Editor Work List	88999-Scientific editor work list.pdf