Artificial intelligence in healthcare: past, present and future

Jiang F, Jiang Y, (...), Wang Y.

Stroke Vasc Neurol. 2017. DOI: 10.1136/svn-2017-000101.

Data types considered in AI literature
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AI is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and the rapid progress of analytic techniques. 

  1. The increasing availability of healthcare data and rapid development of big data analytic methods have made possible the recent successful application of AI in healthcare.               
  2. AI can be applied to various types of healthcare data in the form of Machine Learning (structured, imaging, genetic and EP data) and natural language processing (unstructured data).                   
  3. Regulatory process and data exchange are the main obstacles for real-life implementation.