A Glimpse into the Realm that Combines Artificial Intelligence and Endocrinology

Artificial Intelligence (AI) in the healthcare sector is expanding quickly. It is significantly assisting us in assimilating the growing volume of data and applying it to enhance patient care while maintaining the present state of cost-effectiveness. AI has often been used in developing screening and diagnostic tools in endocrinology, with some limited uses in disease management. AI has assisted in the accurate diagnosis of thyroid nodules, detection of adrenal malignancies, prediction of diabetes microvascular complications, calculation of correct bone age, and estimation of the risks of osteoporosis. Additionally, it has been used successfully in the insulin algorithm of closed-loop insulin delivery and predicting survival in endocrinological malignancies. With an emphasis on the key concepts of artificial intelligence, such as machine learning algorithms and deep-learning models, this article seeks to present a brief overview of the state of AI applications in endocrinology and metabolism.