Searchable abstracts of presentations at key conferences in endocrinology

ea0099rc11.7 | Rapid Communications 11: Adrenal and Cardiovascular Endocrinology | Part II | ECE2024

An artificial intelligence-based decision support system for classifying patients with adrenal tumors

Binas Dimitrios , Economopoulos Theodore , Betsi Grigoria , Xekouki Paraskevi , Angelousi Anna , Matsopoulos George

Background: Adrenal Incidentaloma’s (AI) incidence has been increased 10-fold in the past two decades and more specifically, up to 7% in the general population and up to 9% in elderly patients. Determining whether an adrenal mass is malignant or hormonally active is of great clinical and socioeconomical importance, in order to select the best medical approach and follow up. Artificial Intelligence techniques could provide useful clinical tools for predicting the nature of...