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 . . .

 



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