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Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care.

Aaron Edward CaseySaba AnsariBahareh NakisaBlair KellyPieta BrownPaul CooperImran MuhammadSteven LivingstoneSandeep ReddyVille-Petteri Makinen
Published in: JMIR AI (2023)
Using TEHAI, we identified notable gaps in how well translational topics of AI models are covered in the COVID-19 clinical sphere. These gaps in areas crucial for clinical translatability could, and should, be considered already at the model development stage to increase translatability into real COVID-19 health care environments.
Keyphrases
  • artificial intelligence
  • coronavirus disease
  • sars cov
  • healthcare
  • systematic review
  • machine learning
  • big data
  • deep learning
  • meta analyses
  • respiratory syndrome coronavirus
  • randomized controlled trial