Nashwan AJ. Harnessing artificial intelligence for identifying conflicts of interest in research. World J Methodol 2025; 15(1): 98376 [DOI: 10.5662/wjm.v15.i1.98376]
Corresponding Author of This Article
Abdulqadir J Nashwan, MSc, PhD(c), Research Scientist, Department of Nursing & Midwifery Research, Hamad Medical Corporation, Rayyan Road, Doha 3050, Qatar. anashwan@hamad.qa
Research Domain of This Article
Computer Science, Artificial Intelligence
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
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
Abstract
This editorial explores the transformative potential of artificial intelligence (AI) in identifying conflicts of interest (COIs) within academic and scientific research. By harnessing advanced data analysis, pattern recognition, and natural language processing techniques, AI offers innovative solutions for enhancing transparency and integrity in research. This editorial discusses how AI can automatically detect COIs, integrate data from various sources, and streamline reporting processes, thereby maintaining the credibility of scientific findings.
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.
