Mapping the evolving landscape of artificial intelligence in pathology: A bibliometric analysis of research trends and emerging frontiers (2009-2025) - Summary - MDSpire
Advertisement
Mapping the evolving landscape of artificial intelligence in pathology: A bibliometric analysis of research trends and emerging frontiers (2009-2025)
To conduct a bibliometric and knowledge visualization analysis of AI-related research in computational pathology published between 2009 and 2025.
Approach:
Data Source: The Science Citation Index Expanded (SCIE) of the Web of Science Core Collection was selected for its comprehensive journal coverage and rigorous citation indexing.
Search Strategy: A systematic search was conducted covering publications from January 1, 2009, to December 31, 2025, focusing on whole-slide imaging and machine learning techniques in computational pathology.
Data Collection: The study included 2,216 English-language articles and reviews, comprising 1,814 original articles and 402 reviews, from a dataset of 12,203 authors across 3,576 institutions in 95 countries.
Key Findings:
AI has emerged as a major methodological driver in computational pathology, demonstrating strong performance in various tasks.
The field has generated a heterogeneous body of literature spanning multiple disciplines.
Bibliometric methods can reveal intellectual foundations, research trajectories, and emerging paradigms in AI-driven computational pathology.
Interpretation:
The study aims to provide a structured overview of the evolution of AI in computational pathology and inform future methodological development and translational research.
Limitations:
Exclusion of non-English publications.
Reliance on a single database may limit the comprehensiveness of the analysis.
Conclusion:
The study seeks to characterize growth patterns, research themes, and interdisciplinary knowledge flows in AI-related computational pathology research.
A structured framework of diagnostic classifications, reporting frameworks, staging systems, coding resources, and molecular pathology tools used in practice.
