To provide a bibliometric and visual analysis of AI-related BCC research, highlighting its significance in addressing existing gaps in the literature.
Key Findings:
Annual publication output increased significantly after 2019, with projections of 42 publications in 2025, indicating a growing research interest.
The United States and China were the most productive countries in this research area, contributing significantly to the overall output.
Thirteen core journals were identified, with 'Diagnostics' and 'Skin Research and Technology' leading in publication output, reflecting key platforms for dissemination.
Research hotspots focus on deep learning-driven image analysis for BCC diagnosis, emphasizing the technological advancements in this field.
Interpretation:
AI research in BCC has expanded rapidly, indicating a growing interest and potential for AI to enhance early detection and management of this prevalent skin cancer, particularly through improved diagnostic accuracy.
Limitations:
The study is limited to English-language articles and reviews, which may exclude relevant research published in other languages.
Exclusion of non-BCC or non-AI related studies may limit the comprehensiveness of the analysis, potentially overlooking important insights.
Conclusion:
Future studies should focus on multicenter validation of AI systems and their integration into clinical practice to improve BCC management, ensuring that findings are applicable across diverse healthcare settings.
