Artificial intelligence in healthcare: past, present and future
University of Hong Kong · Capital Medical University · +4 more institutions
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…
Citation impact
- FWCI
- 187.60
- Percentile
- 100%
- References
- 65
Authors
12Topics & keywords
- Cognitive computing
- Health care
- Data science
- Artificial intelligence
- Computer science
- Software deployment
- Unstructured data
- Watson