| Sumario: | This article focuses on the application of artificial intelligence (AI) in cancer screening and its potential to improve health equity. AI, defined as computer programs that process large datasets and make decisions using algorithms, can enhance cancer screening by enabling personalized risk prediction, expediting diagnostic image review, and automating routine tasks, thereby improving access and quality of care across diverse populations. However, challenges such as data bias, lack of transparency, environmental impact, and infrastructure costs must be addressed to prevent exacerbating existing health disparities. The article emphasizes the importance of interdisciplinary collaboration, meaningful engagement with patients and communities, rigorous validation, and ethical oversight to ensure AI tools support rather than replace human judgment and promote equitable cancer screening outcomes.
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