Bibliometric analysis reveals rising global AI and genomic prostate cancer research alongside sharp Latin American underrepresentation, highlighting stark disparities in precision oncology.
Prostate cancer (PC) remains a significant global public health concern. In recent decades, advances in artificial intelligence (AI) and genomics have transformed diagnostic frameworks, risk stratification strategies, and clinical decision-making processes. This study combines bibliometric and network analysis with a strategic public health perspective to evaluate 470 peer-reviewed publications on PC indexed in the Web of Science between January 1, 2001, and June 7, 2025. It focuses on the emergence of AI and genomic tools, as well as the persistent research gap in Latin America. Using VOSviewer® software, we mapped patterns of co-authorship, citation trajectories, institutional collaborations, and temporal dynamics. Scientific output in AI and genomics for PC has risen steadily since 2017. However, Latin America accounted for only 1.7% of global publications in this domain, with most studies lacking locally developed algorithms, clinical validation, and implementation of predictive models. These findings highlight a paradigm shift in oncological research and an urgent opportunity to address structural disparities in biomedical innovation. To this end, we propose a regional roadmap grounded in public investment, specialized workforce training, ethical data governance, and international cooperation. This framework aims to inform equitable and context-sensitive policies for precision oncology across Latin America.
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Martinez-Olivares et al. (2026) studied this question.
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