Artificial intelligence in healthcare: past, present and future

被引：1978

作者：

Jiang, Fei ^{[1
]}

Jiang, Yong ^{[2
]}

Zhi, Hui ^{[3
]}

Dong, Yi ^{[4
]}

Li, Hao ^{[5
]}

Ma, Sufeng ^{[6
]}

Wang, Yilong ^{[7
]}

Dong, Qiang ^{[4
]}

Shen, Haipeng ^{[8
]}

Wang, Yongjun ^{[9
]}

机构：

[1] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Peoples R China

[2] Capital Med Univ, Beijing Tiantan Hosp, Dept Neurol, Beijing, Peoples R China

[3] Univ Hong Kong, Biostat & Clin Res Methodol Unit, Li Ka Shing Fac Med, Hong Kong, Peoples R China

[4] Fudan Univ, Huashan Hosp, Dept Neurol, Shanghai, Peoples R China

[5] China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China

[6] DotHealth, Shanghai, Peoples R China

[7] Tiantan Clin Trial & Res Ctr Stroke, Dept Neurol, Beijing, Peoples R China

[8] Univ Hong Kong, Fac Business & Econ, Hong Kong, Peoples R China

[9] Beijing Tiantan Hosp, Dept Neurol, Beijing, Peoples R China

来源：

STROKE AND VASCULAR NEUROLOGY | 2017年 / 2卷 / 04期

关键词：

big data; deep learning; neural network; support vector machine; stroke; SUPPORT VECTOR MACHINE; ACUTE STROKE; LEARNING ALGORITHM; DIAGNOSTIC ERRORS; CLASSIFICATION; PREDICTION; DISEASE; IDENTIFICATION; COMPLICATIONS; BIOMARKERS;

D O I：

10.1136/svn-2017-000101

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

100204 [神经病学];

摘要：

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.

引用

页码：230 / 243

页数：14

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