Abstract:Pituitary adenoma (PA) is a common benign tumor originating in the sellar region. With the development of the examination technology, the incidence of PA has been increasing yearly. However, the related research data has become complex due to the diverse clinical manifestations, various pathological types of PA, and different treatment approaches. Additionally, previous diagnosis and treatment methods of PA are mainly based on the clinical experience of doctors, which brings great challenges to the related research of PA. As a new research method in the field of artificial intelligence, machine learning can achieve in-depth excavation and classification of data. Machine learning can improve the accuracy of prediction results and provide strong assistance in treatment and prognosis assessment.This paper provides a comprehensive review of recent advances in the application of machine learning in diagnosing and treating PA.
