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A fast and non-invasive artificial intelligence olfactory-like system that aids diagnosis of Parkinson's disease.

Yina CaoLina JiangJingxin ZhangYanlu FuQiwei LiWei FuJunjiang ZhuXiaohui XiangGuohua ZhaoDongdong KongXing ChenJiajia Fang
Published in: European journal of neurology (2023)
This study provides a fast, low-cost and non-invasive method to distinguish PD patients from healthy controls. Furthermore, our study also indicates abnormal sebaceous gland secretion in PD patients, providing new evidence for exploring the pathogenesis of PD.
Keyphrases
  • artificial intelligence
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • machine learning
  • big data
  • deep learning
  • patient reported outcomes