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Cardiovascular Risk Assessment Using Artificial Intelligence-Enabled Event Adjudication and Hematologic Predictors.

James G TruslowShinichi GotoMax HomiliusChristopher MowJohn M HigginsCalum A MacRaeRahul C Deo
Published in: Circulation. Cardiovascular quality and outcomes (2022)
We conclude that low-cost, ubiquitous inputs, if biologically informative, can provide population-level readouts of risk.
Keyphrases
  • artificial intelligence
  • low cost
  • risk assessment
  • machine learning
  • big data
  • deep learning
  • human health
  • heavy metals