人工智能对胃肠疾病诊疗的推动作用

高速发展的计算机技术给日常生活及工作带来巨大变化。人工智能是计算机科学的一个分支,是让计算机去行使通常情况下具备智能生命才可能行使的活动,广义的人工智能涵盖机器学习和机器人等等,本文主要聚焦于机器学习与相关的医学领域,深度学习是机器学习中的人工神经网络,卷积神经网络(CNN)是深度神经网络的一种,是在深度神经网络基础上,进一步模仿大脑的视觉皮层构造和视觉活动原理而开发;目前在医疗大数据分析中应用的机器学习方式主要为CNN。在未来数年内,人工智能作为常规工具进入医学图像解读相关的科室是发展趋势。本文主要分享人工智能与生物医学的融合进展,并结合实际案例,重点介绍CNN在胃肠道疾病的病理诊断、影像学诊断及内镜诊断等方面的应用研究现状。

Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases

The rapid development of computer technologies brings us great changes in daily life and work.Artificial intelligence is a branch of computer science,which is to allow computers to exercise activities that are normally confined to intelligent life.The broad sense of artificial intelligence includes machine learning and robots.This article mainly focuses on machine learning and related medical fields,and deep learning is an artificial neural network in machine learning.Convolutional neural network(CNN)is a type of deep neural network,that is developed on the basis of deep neural network,further imitating the structure of the visual cortex of the brain and the principle of visual activity.The current machine learning method used in medical big data analysis is mainly CNN.In the next few years,it is the developing trend that artificial intelligence as a conventional tool will enter the relevant departments of medical image interpretation.In addition,this article also shares the progress of the integration of artificial intelligence and biomedicine combined with actual cases,and mainly introduces the current status of CNN application research in pathological diagnosis,imaging diagnosis and endoscopic diagnosis for gastrointestinal diseases.