Harnessing artificial intelligence for identifying conflicts of interest in research

Abdulqadir J Nashwan of Hamad Medical Corporation, Qatar, published this editorial in the World Journal of Methodology on 20 March 2025. It proposes that data analysis, pattern recognition and natural language processing could help identify conflicts of interest by scanning research papers, grant proposals and related documents, by linking publication, funding and institutional records to reveal undisclosed connections, and by generating alerts and summaries for human review.

Notes & quotes

  • Nashwan writes that the process still needs human oversight.
  • He notes that AI can struggle with the context-specific nature of conflicts of interest, and raises concerns about transparency, trust and potential misuse.

Publisher / company: Hamad Medical Corporation
Date of case study: 2025
Status: Not stated
Built by: Research, non-profit or individual

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