摘要
人工智能(AI)是研发用于模拟人类大脑学习并且延伸人类能力的新型智能技术科学。近年来,医疗大数据的深度挖掘归功于AI的突破发展,也推动了AI+医疗创新模式的发展。我们将阐述AI在医学领域的应用及其原理,特别是在肿瘤诊治方面的优势,包括AI擅长的医学图像(影像、病理)处理,为AI奠定基础的影像组学的发展,AI更新换代后深度学习算法的优势,AI在诊断、特征提取、监测、疗效随访中的应用等。随着AI在不同疾病中应用经验的积累,深度学习算法可以利用越来越多的医疗大数据进行训练和验证模型,我们期待AI的灵敏性和准确性会有更大的提升,甚至可能超越影像专家及病理专家对肿瘤的诊治水平。
Artificial intelligence (AI) is the newly developed intelligent technology that can simulate human brain to establish neural network and even extent human capacity. Recently, deep dig of medical big data is owing to breakthrough of AI technology and deep learning algorithm. New model of AI plus medical creation is promoted. This review will discuss AI applications and theories in medical fields, especially in cancer diagnosis and treatment. This contains the advantages of AI in image disposes (imaging and pathology), radiomics which pave the road for AI technology, newly developed deep learning algorithm. We will also discuss the main usages of AI in the diagnosis, characteristics and monitoring of cancers. As the accumulating experiences of AI application in diseases, deep learning can explore more and more medical data to train and validate established models. We anticipate the performance will be greatly improved in the future, and even surpass accuracy and sensitivity of imaging experts and pathologists in cancer diagnosis and treatment.
作者
袁紫旭
徐挺洋
姚建华
蔡建
王磊
Yuan Zixu;Xu Tingyang;Yao Jianhua;Cai Jian;Wang Lei(Department of Colorectal Surgery, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China;AI Lab of Shenzhen Tengxun, Shenzhen 518063, China)
出处
《中华实验外科杂志》
CAS
CSCD
北大核心
2019年第2期203-207,共5页
Chinese Journal of Experimental Surgery
关键词
人工智能
恶性肿瘤
深度学习算法
诊断
Artificial Intelligence
Malignancy
Deep learning
Diagnosis