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Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters.

Kristina SonnenscheinStevan D StojanovićNicholas DickelJan FiedlerJohann BauersachsThomas ThumMeik KunzJörn Tongers
Published in: Biomedicines (2021)
AI-based tools may be promising to enable the correct identification of patients with unstable PAD by using existing clinical information, thus supplementing clinical decision making. Additional studies in larger prospective cohorts are necessary to determine the usefulness of this approach in comparison to standard diagnostic measures.
Keyphrases
  • artificial intelligence
  • machine learning
  • decision making
  • randomized controlled trial
  • deep learning
  • big data
  • healthcare
  • gene expression
  • genome wide
  • social media