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Current Status and Trends in mHealth-Based Research for Treatment and Intervention in Tinnitus: Bibliometric and Comparative Product Analysis.

Yuanjia HuYang LuChenghua TianYunfan HeKaiyi RongSijia PanJianbo Lei
Published in: JMIR mHealth and uHealth (2023)
We found that, as a whole, the use of mHealth for treatment and intervention in tinnitus was showing a rapid development, in which good progress had been made in studies around sound therapy and cognitive behavioral therapy, although most of the studies (50/75, 67%) focused on treatment effects. However, the field is poorly accepted in top medical journals, and the majority are in the research design phase, with a lack of translation of the literature results and clinical validation of the marketed apps. Furthermore, in the future, novel artificial intelligence techniques should be used to address the issue of staged monitoring of tinnitus.
Keyphrases
  • artificial intelligence
  • current status
  • randomized controlled trial
  • machine learning
  • healthcare
  • stem cells
  • big data
  • deep learning
  • combination therapy
  • replacement therapy
  • quantum dots
  • sensitive detection