Harnessing artificial intelligence for identifying conflicts of interest in research

doi:10.5662/wjm.v15.i1.98376

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Mar 20, 2025 (publication date) through Nov 21, 2024

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World Journal of Methodology

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2222-0682

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Methodol. Mar 20, 2025; 15(1): 98376
Published online Mar 20, 2025. doi: 10.5662/wjm.v15.i1.98376

Harnessing artificial intelligence for identifying conflicts of interest in research

Abdulqadir J Nashwan

Abdulqadir J Nashwan, Department of Nursing & Midwifery Research, Hamad Medical Corporation, Doha 3050, Qatar

Author contributions: Nashwan AJ wrote and edited the manuscript, and conducted the literature review; the author has read and approved the final manuscript.

Conflict-of-interest statement: The author declares that he has no conflict of interest.

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: Abdulqadir J Nashwan, MSc, PhD(c), Research Scientist, Department of Nursing & Midwifery Research, Hamad Medical Corporation, Rayyan Road, Doha 3050, Qatar. anashwan@hamad.qa

Received: June 25, 2024
Revised: August 5, 2024
Accepted: August 8, 2024
Published online: March 20, 2025
Processing time: 95 Days and 23.7 Hours

Core Tip

Core Tip: This editorial outlines the revolutionary role of artificial intelligence (AI) in detecting conflicts of interest (COIs) within academic and scientific communities. Utilizing sophisticated algorithms for data analysis, pattern recognition, and natural language processing, AI provides novel means to boost transparency and uphold integrity in research. The discussion extends to AI's capabilities to autonomously identify COIs, amalgamate diverse data streams, and simplify the reporting mechanisms, ensuring the reliability of scientific outputs.