AI literacy among healthcare professionals and students in the Americas

作者：Madhav Patel, Fernanda Malucelli Favorito, Rohan K Patel, Ramez Kouzy, Kevin Du, Fabio Ynoe Moraes, Danielle S. Bitterman, Leah Katz · 发表于：The Lancet Regional Health - Americas · 年份：2026 · DOI：10.1016/j.lana.2026.101489 · 被引用次数：3 · 研究领域：Artificial Intelligence in Healthcare and Education、AI in Service Interactions、Clinical Reasoning and Diagnostic Skills

Artificial Intelligence (AI) applications in health care continue to grow exponentially, and AI-tools such as machine learning (ML), natural language processing (NLP), and generative pre-trained transformers (GPT) continue to transform medical education. The adoption of AI in medical education however remains geographically varied, with studies illustrating a relatively lower research output on medical AI literacy in Latin America (LATAM) countries compared to North America. AI-applications offer significant potential to broaden access to medical education and facilitate evidence-based support with clinical decision-making, particularly in low- and middle-income countries (LMICs). Enhancing AI literacy in such settings is of paramount importance - successful integration may alleviate historical disparities, while improper implementation may deepen regional inequities in medical education and health care. In this viewpoint article, we illustrate the current state of AI-based medical education across the Americas, highlight challenges in implementation, and offer collaborative, equitable, and regionally tailored strategies to enhance medical AI literacy among health care professionals and students.