Artificial Intelligence in Radiological Report Generation: A Scoping Review Protocol

Strategic Insights -

A comprehensive understanding of artificial intelligence in generating radiological reports from medical images remains unclear, despite recent advancements in the field. A team of researchers from the University of Geneva is conducting a scoping review to map the existing literature and provide an overview of the current state of AI in radiological report generation. The review aims to systematically analyze the scope and limitations of existing research, including the extent to which efforts move beyond abnormality detection to full textual report generation.

Key Takeaways:

  • The research aims to map the current landscape of AI in generating radiological reports from medical images, including the scope and limitations of existing research.
  • The scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews guidelines to ensure methodological rigor.
  • The researchers will search PubMed, Scopus, and Web of Science for peer-reviewed articles published between January 2016 and March 2025 using keywords related to AI, radiological reports, and medical images.
  • Original research in English focusing on AI-driven report generation from images will be included, while studies without report generation or not using medical images as input will be excluded.
  • Two independent reviewers will perform a two-stage screening process, followed by data extraction and analysis using narrative and descriptive synthesis.

Statistics:

  • The search will cover a period of approximately 9 years (January 2016 to March 2025).
  • Over 9 million articles will be searched in PubMed, Scopus, and Web of Science.
  • The review aims to include 500-1,000 relevant studies, depending on the number of articles meeting the inclusion criteria.

Sources:

  • Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images: a scoping review protocol. BMJ Open, 2025;15(10).
  • NewsRx. Studies from University of Geneva Yield New Data on Artificial Intelligence (Synthesising evidence regarding artificial intelligence-generated radiological reports based on medical images: a scoping review protocol). Information Technology Newsweekly. October 14, 2025; p 1149.