Exploring AI Trends in Molecular and Cell Biology: A 10-Year Bibliometric Analysis (2015-2024)

This study examines the evolution of artificial intelligence (AI) applications in molecular and cell biology from 2015 to 2024, utilizing bibliometric analysis compliant with PRISMA guidelines. An analysis of 1,779 open-access articles highlighted significant growth in AI-related publications, increasing from 39 in 2015 to 418 in 2024, with the U.S. leading in total publications. Key applications identified include genome analysis, drug discovery, and personalized medicine. The research underscores the importance of AI in fostering interdisciplinary collaboration and advancing global genomic initiatives. Recommendations are provided to guide scientists, policymakers, and funders in addressing knowledge gaps and forming new research avenues.