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