Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA.
Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA.
Acad Radiol. 2020 Jan;27(1):71-75. doi: 10.1016/j.acra.2019.10.003. Epub 2019 Nov 20.
Tuberculosis is a leading cause of death from infectious disease worldwide, and is an epidemic in many developing nations. Countries where the disease is common also tend to have poor access to medical care, including diagnostic tests. Recent advancements in artificial intelligence may help to bridge this gap. In this article, we review the applications of artificial intelligence in the diagnosis of tuberculosis using chest radiography, covering simple computer-aided diagnosis systems to more advanced deep learning algorithms. In so doing, we will demonstrate an area where artificial intelligence could make a substantial contribution to global health through improved diagnosis in the future.
结核病是全球传染病死亡的主要原因，在许多发展中国家也是一种流行疾病。结核病流行的国家往往也难以获得医疗服务，包括诊断检测。人工智能的最新进展可能有助于缩小这一差距。本文综述了人工智能在胸部 X 射线诊断结核病中的应用，涵盖了简单的计算机辅助诊断系统到更先进的深度学习算法。通过这样做，我们将展示人工智能在未来通过改进诊断可以为全球健康做出重大贡献的一个领域。
