Talebi-Liasi Faezeh, Markowitz Orit
Department of Dermatology, Icahn School of Medicine at Mount Sinai Medical Center, New York, New York; Department of Dermatology, SUNY Downstate Medical Center, Brooklyn; and Department of Dermatology, New York Harbor Healthcare System, Brooklyn, USA.
Cutis. 2020 Jan;105(1):28-31.
The use of computers or machines in medicine dates back to the 1960s. Deep learning software programming is a subset of artificial intelligence (AI) based on the ability of a machine to learn from data and adaptively change. Deep learning is creating the next industrial revolution across the economy by replacing repetitive low-skilled tasks with learning algorithms. In medicine, image-based fields such as radiology, dermatology, and pathology have seen an increase in the number of studies using deep learning. However, given the current lack of standardized data sets to train these machines, it is difficult to predict if the present results eventually will be translated to real-life clinical settings.
计算机或机器在医学中的应用可追溯到20世纪60年代。深度学习软件编程是人工智能（AI）的一个子集，它基于机器从数据中学习并自适应变化的能力。深度学习通过用学习算法取代重复性低技能任务，正在引发一场席卷整个经济领域的下一次工业革命。在医学领域，放射学、皮肤病学和病理学等基于图像的学科，使用深度学习的研究数量有所增加。然而，鉴于目前缺乏用于训练这些机器的标准化数据集，很难预测目前的研究结果最终能否转化为实际临床应用。
