Published on in Vol 9, No 1 (2022): Jan-Mar
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/34058, first published
.
Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study
Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study
Journals
- Tahri Sqalli M, Aslonov B, Gafurov M, Nurmatov S. Humanizing AI in medical training: ethical framework for responsible design. Frontiers in Artificial Intelligence 2023;6 View
- Hu L, Huang S, Liu H, Du Y, Zhao J, Peng X, Li D, Chen X, Yang H, Kong L, Tang J, Li X, Liang H, Liang H. A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasets. Patterns 2023;4(9):100795 View
- Tahri Sqalli M, Aslonov B, Gafurov M, Mukhammadiev N, Sqalli Houssaini Y. Eye tracking technology in medical practice: a perspective on its diverse applications. Frontiers in Medical Technology 2023;5 View
- Khalifa A, Khidr S, Hassan A, Mohammed H, El-Sharkawi M, Fadle A. Can Orthopaedic Surgeons adequately assess an Electrocardiogram (ECG) trace paper? A cross sectional study. Heliyon 2023;9(12):e22617 View