Published on in Vol 7, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26675, first published .
Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach

Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach

Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach

Journals

  1. Tahri Sqalli M, Al-Thani D, Elshazly M, Al-Hijji M, Alahmadi A, Sqalli Houssaini Y. Understanding Cardiology Practitioners’ Interpretations of Electrocardiograms: An Eye-Tracking Study. JMIR Human Factors 2022;9(1):e34058 View
  2. 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
  3. Liu C, Chang C, Hung J, Lin J, Sung P, Lee L, Hsiao C, Chao Y, Huang E, Wang S. Brain computed tomography reading of stroke patients by resident doctors from different medical specialities: An eye-tracking study. Journal of Clinical Neuroscience 2023;117:173 View
  4. 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

Books/Policy Documents

  1. Sqalli M, Al-Thani D, Elshazly M, Al-Hijji M, Alahmadi A, Houssaini Y. Medical Imaging and Computer-Aided Diagnosis. View