Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date:

Abstract

PURPOSE: This scoping review summarizes the applications of artificial intelligence (AI) and bioinformatics methodologies in analysis of ocular biofluid markers. The secondary objective was to explore supervised and unsupervised AI techniques and their predictive accuracies. We also evaluate the integration of bioinformatics with AI tools.

Authors

  • Aidan Pucchio
    School of Medicine, Queen's University, Kingston, Ontario, Canada.
  • Saffire H Krance
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Daiana R Pur
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Jasmine Bhatti
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Arshpreet Bassi
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Karthik Manichavagan
    Queens School of Medicine, Kingston, ON, Canada.
  • Shaily Brahmbhatt
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Ishita Aggarwal
    Queens School of Medicine, Kingston, ON, Canada.
  • Priyanka Singh
    D. Y. Patil Education Society (Institution Deemed to be University) Kolhapur (M.S) India raghvendrabohara@gmail.com Raghvendra.Bohara@nuigalway.ie.
  • Aleena Virani
    Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
  • Meagan Stanley
    Western University, London, ON, Canada.
  • Rafael N Miranda
    Toronto Health Economics and Technology Assessment Collaborative, Toronto, ON, Canada.
  • Tina Felfeli
    Toronto Health Economics and Technology Assessment Collaborative, Toronto, ON, Canada. tina.felfeli@mail.utoronto.ca.