Abstract
The editorial examines modern trends and new technologies in the radiological diagnostics of adrenal tumors, such as dual-energy computed tomography and textural analysis methods utilizing machine learning. Particular attention is paid to the differential diagnosis of adrenal masses, including multi‑class differentiation. Research data demonstrating the high diagnostic efficacy of these approaches are presented, and the importance of an interdisciplinary and personalized approach in patient management is emphasized. The material reflects current achievements and future prospects for the development of radiological methods in endocrinology and oncology.