Artificial intelligence (AI) has entered medicine, transforming how diseases are diagnosed and treated. While AI promises to increase efficiency and reduce diagnostic errors, it raises questions about whether it can replace the human aspect of diagnosis, particularly empathy and clinical judgment. Despite advancements in fields like medical imaging and predictive medicine, AI lacks the ability to understand the social and cultural context of the patient. Moreover, the use of AI in medicine faces ethical challenges, such as responsibility for diagnostic errors and the potential perpetuation of biases present in training data. In contexts like Chile, AI could deepen the medicalization of daily life and prioritize efficiency over comprehensive care, leading to greater depersonalization in healthcare. The key will be to integrate AI in a way that complements medical practice without losing the human element, ensuring that technology enhances diagnosis without replacing clinical judgment. The debate on AI encourages reflection on the type of healthcare system desired: efficient, ethical, and people-centered.
Gallardo Cochifas, J. (2025). Artificial Intelligence and its use in diagnosis: The end of the Ars medica?. Revista Chilena De Salud Pública, 29, e78286. https://doi.org/10.5354/0719-5281.2025.78286
