The use of artificial intelligence in endocrinology. A review article.

Abstract

Background: Artificial intelligence (AI) has revolutionized the field of medicine, with the potential to transform the approach to diagnosis and treatment and improve patient outcomes. In recent years, the use of AI in endocrinology has increased.
Objective: This review article summarizes the current status of AI in endocrinology, its potential benefits, and new approaches and advancements in the management of diabetes and thyroid, pituitary, and adrenal diseases. Despite its potential benefits, AI in healthcare faces challenges, including data quality and privacy concerns.
Methods: PubMed and Google search engines were used for the literature review using the keywords endocrinology, machine learning, artificial intelligence, diabetes mellitus, and thyroid gland disorders. Cross-referencing important articles yielded additional references.
Results and conclusion: Although AI has the potential to predict the possibility of acquiring specific diseases, customize treatment plans, and aid in surgical procedures, it is important to recognize that AI in healthcare is still in its infancy, and a lot of work and development is still required to overcome the challenges and limitations associated with its implications in healthcare.