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Artificial intelligence toolkit for scholarly writing.

Anita Samuel1

  • 1Department of Health Professions Education, Uniformed Services University of Health Sciences, Bethesda, MD, United States.

Academic Medicine : Journal of the Association of American Medical Colleges
|April 26, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) tools are revolutionizing academic writing, aiding scholars from initial idea generation through to final publication. This guide maps the scholarly writing process and highlights AI tools for each stage.

Keywords:
artificial intelligencegenerative AIresearchscholarship

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Area of Science:

  • Scholarly communication
  • Academic publishing
  • Artificial intelligence in research

Background:

  • The academic writing process is complex, involving multiple stages from conception to publication.
  • Scholars increasingly seek efficient methods to navigate the writing and publishing workflow.

Purpose of the Study:

  • To provide a guide map of the academic writing process.
  • To identify and categorize artificial intelligence (AI)-enhanced tools supporting scholarly writing.
  • To assist researchers in leveraging AI for improved writing and publication outcomes.

Main Methods:

  • Literature review of AI tools in academic writing.
  • Categorization of AI tools based on their application in the scholarly writing workflow.
  • Development of a guide map illustrating the academic writing process.

Main Results:

  • Identification of various AI-enhanced tools applicable to different stages of academic writing.
  • AI tools can assist with idea generation, literature review, manuscript drafting, revision, and submission.
  • The study outlines a structured approach to integrating AI into the scholarly workflow.

Conclusions:

  • Artificial intelligence (AI) offers significant potential to enhance the efficiency and effectiveness of academic writing.
  • Scholars can benefit from strategically employing AI tools throughout the research and publication lifecycle.
  • Further exploration and adoption of AI are recommended for optimizing scholarly communication.