摘要：

既往对垂体腺瘤诊治方案的选择主要基于神经外科医师的临床经验，因此患者预后主要取决于医师的诊疗水平。近年随着机器学习、影像组学等人工智能技术的发展与进步，临床医师可借助机器辅助诊断、制定治疗方案，从而达到更为一致性的诊断准确性和更好的疗效。本文对人工智能技术在垂体腺瘤诊治中的应用进行综述，以为临床医师了解人工智能的各种研究方法提供参考，并能全面衡量其利弊，在医学研究中合理使用。

关键词: 垂体肿瘤, 人工智能, 机器学习, 综述

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.

Key words: Pituitary neoplasms, Artificial intelligence, Machine learning, Review