External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard.

Journal: International journal of cardiology
PMID: 39433158

Abstract

OBJECTIVE: There are few studies evaluating the accuracy of commercially available AI-powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore, the utility of these systems for diagnosing clinically significant VHD remains unclear. We conducted a comprehensive external evaluation of the Eko murmur analysis software (EMAS) and report its accuracy in detecting murmurs associated with VHD using echocardiography (ECHO) as the reference standard.

Authors

  • Valentina Roquemen-Echeverri
    Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA. Electronic address: roquemev@ohsu.edu.
  • Peter G Jacobs
  • Evan F Shalen
    Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.
  • Peter M Schulman
    Department of Anesthesiology and Perioperative Medicine, Oregon Health & Science University, Portland, OR, USA.
  • Stephen B Heitner
    Oregon Health and Science University, Knight Cardiovascular Institute Hypertrophic Cardiomyopathy and Cardiogenetics Centers, Portland (S.B.H., M.C.M., K.E.).
  • Quin Denfeld
    School of Nursing, Oregon Health & Science University, Portland, OR, USA.
  • Bethany Wilson
    Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.
  • John Halvorson
    Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.
  • Daniel Scott
    Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, Rhode Island 02912-1821.
  • Tomás Londoño-Murillo
    Artificial Intelligence for Medical Systems (AIMS) Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
  • Clara Mosquera-Lopez

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