Stroke and Vascular Neurology· 2017Q1· Review
Artificial intelligence in healthcare: past, present and future
- 4,663citations
- Q1SCImago
- 2017year
Short summary
Artificial intelligence (AI) is revolutionizing healthcare by mimicking human cognitive functions, driven by vast healthcare data and advanced analytics.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI mimics human cognition, enabling a paradigm shift in healthcare.
- Machine learning and natural language processing are key AI techniques for healthcare data.
- AI applications are prominent in cancer, neurology, and cardiology.
- Specific AI uses in stroke include early detection, treatment, and prognosis.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Stroke and Vascular Neurology, 2017 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine