Artificial intelligence in pituitary medicine: what should an endocrinologist know?

Pituitary disorders often include complex radiology imaging, rare clinical presentations, and need for multidisciplinary decision-making and prolonged follow-up, all features that make them a natural target for artificial intelligence (AI). The resulting literature is expanding rapidly, but carries an unfamiliar vocabulary and set of methods, which can leave clinicians without a clear entry point. This short perspective offers such an entry point, succinctly outlining how AI learns from data, how a clinical AI application moves from question to deployment, providing examples, and addressing how to read the field critically.