Published September 26, 2021 | Version Published
Journal article Open

Machine Learning in Pain Medicine: An Up-To-Date Systematic Review

  • 1. CYENS Centre of Excellence, Nicosia, Cyprus
  • 2. Department of Neurology, Nicosia New General Hospital, Nicosia, Cyprus
  • 3. Bernoulli Institute for Mathematics Computer Science and Artificial Intelligent, University of Groningen, Groningen, Netherlands
  • 4. CYENS Centre of Excellence, Nicosia, Cyprus Computer Science, University of Cyprus, Nicosia, Cyprus
  • 5. Medical School, University of Cyprus, Nicosia, Cyprus

Description

Pain is the unpleasant sensation and emotional experience that leads to poor quality of life for millions of people worldwide.
Considering the complexity in understanding the principles of pain and its significant impact on individuals and society, research focuses to deliver innovative pain relief methods and techniques. This review explores the clinical uses of machine learning (ML) for the

Notes

This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.

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Additional details

Funding

European Commission
RISE - Research Center on Interactive Media, Smart System and Emerging Technologies 739578