Facial Analysis in Acromegaly Using Machine Learning: Towards Earlier Diagnosis.

Background: Acromegaly is a rare and progressive disorder often diagnosed late due to its insidious onset and gradually evolving facial features. Early detection remains a critical unmet need to reduce disease-associated morbidity and mortality.

Objective: This study aimed to develop and evaluate machine learning models that can identify acromegaly-specific facial features using pre-diagnostic photographs, potentially enabling earlier diagnosis.