Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73131, first published .
AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using a Conceptual Prototype: Randomized Controlled Study

AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using a Conceptual Prototype: Randomized Controlled Study

AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using a Conceptual Prototype: Randomized Controlled Study

Anindya Pradipta Susanto   1, 2, 3 , MD, BEng, PhD ;   David Lyell   1 , MBA, PhD ;   Bambang Widyantoro   4 , MD, PhD ;   Dafsah Arifa Juzar   4 , MD, PhD ;   Anwar Santoso   4 , MD, PhD ;   Shlomo Berkovsky   1 , PhD ;   Farah Magrabi   1 , PhD

1 Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia

2 Medical Technology Cluster, Indonesian Medical Education and Research Institute, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia

3 Department of Medical Physiology and Biophysics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia

4 Department of Cardiology and Vascular Medicine, Faculty of Medicine, National Cardiovascular Centre Harapan Kita Hospital Jakarta, Universitas Indonesia, Depok, Indonesia

Corresponding Author:

  • Anindya Pradipta Susanto, MD, BEng, PhD
  • Centre for Health Informatics
  • Australian Institute of Health Innovation, Macquarie University
  • 75 Talavera Road
  • Sydney 2113
  • Australia
  • Phone: 61 423309268
  • Email: anindya.susanto@ui.ac.id