...
首页> 外文期刊>Neurosurgical focus >Editorial. Machine learning and artificial intelligence applied to the diagnosis and management of Cushing disease
【24h】

Editorial. Machine learning and artificial intelligence applied to the diagnosis and management of Cushing disease

机译:社论。机器学习和人工智能应用于缓冲疾病的诊断和管理

获取原文
           

摘要

C ushing disease is defined as hypercortisolism resulting from a pituitary tumor that secretes abnormal and excessive amounts of adrenocorticotropic hormone (ACTH). This definition is quite straightforward; however, the actual diagnosis of Cushing disease can be elusive, confusing, and aggravating for both patients and caregivers.3 The source of these diagnostic difficulties lies in the plethora of symptoms, laboratory tests, and imaging studies that are currently utilized in attempts to establish an accurate differential diagnosis. With so many factors that must be taken into account, it would seem that these diagnostic and management efforts would be prime candidates for assessment using artificial intelligence or machine learning platforms.
机译:C轴疾病被定义为由垂体肿瘤产生的高旋转性,垂直肿瘤分泌异常和过量的肾上腺皮质激素(ACTH)。这个定义非常简单;然而,对患者和护理人员来说,缓冲疾病的实际诊断可能是难以捉摸的,令人困惑和加重这些诊断困难的来源位于目前用于建立的症状,实验室测试和成像研究中的血清症状,实验室测试和成像研究准确的差异诊断。对于必须考虑到这么多的因素,似乎这些诊断和管理努力将是使用人工智能或机器学习平台进行评估的主要候选人。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号