The application of artificial intelligence technology in the diagnosis and treatment of pituitary adenoma

Abstract

Previous selection of diagnosis and treatment methods of pituitary adenoma are mainly based on the clinical experience of neurosurgeons, so the prognosis of patients mainly depends on the diagnosis and treatment level of doctors. In recent years, with the development and progress of artificial intelligence technology such as machine learning and radiomics, clinicians can make diagnosis and treatment plans with the help of machines, so as to achieve more consistent diagnostic accuracy and better efficacy. This paper summarizes the application of artificial intelligence in the diagnosis and treatment of pituitary adenoma, so as to provide references for clinicians to understand various methods of artificial intelligence technology, and to comprehensively evaluate its advantages and disadvantages, so as to make rational use of it in medical research. DOI：10.3969/j.issn.1672⁃6731.2020.03.003

Keywords

• pituitary neoplasms
• artificial intelligence
• machine learning
• review