Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol.

Journal: BMJ open
Published Date: Aug 5, 2021

Abstract

INTRODUCTION: Rheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of secondary prophylaxis is important. The objectives of this study are to determine the frequency of subclinical RHD and to train a deep learning (DL) algorithm using waveform data from the digital auscultatory stethoscope (DAS) in predicting subclinical RHD.

Authors

  • Fatima Ali
    Pediatrics and Child Health, Aga Khan University Hospital, Karachi, Pakistan.
  • Babar Hasan
    Department of Pediatrics and Child Health, babar.hasan@aku.edu.
  • Huzaifa Ahmad
    Medicine, MedStar Georgetown University Hospital, Washington, District of Columbia, USA.
  • Zahra Hoodbhoy
    Department of Pediatrics and Child Health.
  • Zainab Bhuriwala
    Pediatrics and Child Health, Aga Khan University Hospital, Karachi, Pakistan.
  • Muhammad Hanif
  • Shahab U Ansari
    Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan.
  • Devyani Chowdhury
    Cardiology Care for Children, Lancaster, Pennsylvania, USA.

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