AI in medicine

Artificial intelligence offers enormous potential in the medical care of premature babies and in the diagnosis of cardiovascular diseases. The presentation will highlight how AI-based methods—particularly deep learning—can support early detection and diagnosis of health risks by analyzing complex medical data. Examples include the identification of biomarkers for neurological development through MRI analysis in preterm infants, as well as the development of AI algorithms for automated ECG analysis in patients with myocardial infarction to enhance clinical decision-making.

Artificial Intelligence is being trained to assist in intensive care, with the promise of predicting critical events early and supporting medical decision-making. But what exactly are we teaching it — and is it learning what we think it is? In this talk, we’ll explore how AI in medicine often optimizes for unintended — but foreseeable — goals, why context matters more than we realize, and what it would take to build systems that are more robust and reliable.