RT Journal Article
SR Electronic
T1 Artificial intelligence in healthcare: past, present and future
JF Stroke and Vascular Neurology
FD BMJ Publishing Group Ltd
SP 230
OP 243
DO 10.1136/svn-2017-000101
VO 2
IS 4
A1 Jiang, Fei
A1 Jiang, Yong
A1 Zhi, Hui
A1 Dong, Yi
A1 Li, Hao
A1 Ma, Sufeng
A1 Wang, Yilong
A1 Dong, Qiang
A1 Shen, Haipeng
A1 Wang, Yongjun
YR 2017
UL http://svn.bmj.com/content/2/4/230.abstract
AB 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.