Development and validation of a machine learned algorithm to identify functionally significant coronary artery disease

HIGHLIGHTS

  • who: Ian Shadforth and Mark G. Rabbat from the United States KNToosi University of Technology have published the research: Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease, in the Journal: (JOURNAL) of 09/08/2022

SUMMARY

    Multiple trials have demonstrated broad performance ranges for tests attempting to detect coronary artery disease. Presented here are the development and clinical validation of an office-based machine learned algorithm to identify functionally significant coronary artery disease without radiation, expensive equipment or induced patient stress. The IDENTIFY trial (NCT03864081) is . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?