AI in Healthcare: Past, Present and Future

Abstract

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.

Full Text Article – http://dx.doi.org/10.1136/svn-2017-000101 

Authors:

  1. Fei Jiang1, 
  2. Yong Jiang2, 
  3. Hui Zhi3, 
  4. Yi Dong4, 
  5. Hao Li5, 
  6. Sufeng Ma6, 
  7. Yilong Wang7, 
  8. Qiang Dong4, 
  9. Haipeng Shen8, 
  10. Yongjun Wang9