IA biomédica: lo que los papers no cuentan

In this episode of Quantum Time Dialogues, Dr. Mariela Azul González takes us to the heart of artificial intelligence applied to medicine. Why do models that impress in scientific articles sometimes fail in real hospitals? We discuss imperfect data, costly errors, ethics, trust, doctor-engineer collaboration, and the true scope of AI in healthcare. Discover tips for students, challenges in Latin America, and the importance of maintaining curiosity and critical thinking in science. ⏰ MAIN TOPICS (CHAPTERS) 0:00:00 - Introduction 0:04:33 - Human Variability and Challenges of Biomedical Data 0:09:12 - Fuzzy Logic and Reliable Tools for Physicians 0:15:01 - Validation, Sensitivity, and Specificity in Biomedical Models 0:22:05 - Key Metrics: Confusion Matrix, ROC Curves, Cross-Validation 0:29:08 - Challenges in Latin America and the Role of Universities 0:38:49 - Final Message: Curiosity, Critical Thinking, and Motivation