Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44650, first published .
Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort Study

Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort Study

Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort Study

Journals

  1. Gabriel A, Quaresma C, Vieira P. An Innovative Mathematical Model of the Spine: Predicting Cobb and Intervertebral Angles Using the 3D Position of the Spinous Processes Measured by Vertebral Metrics. Algorithms 2024;17(4):134 View
  2. Maturi B, Dulal S, Sayana S, Ibrahim A, Ramakrishna M, Chinta V, Sharma A, Ravipati H. Revolutionizing Cardiology: The Role of Artificial Intelligence in Echocardiography. Journal of Clinical Medicine 2025;14(2):625 View
  3. Elechi U, Orobator E, Udoh K, Ngozi E, Uzoma C, Forson K, Akanbi O, Tarawallie M. Artificial Intelligence in Healthcare: A Narrative Review of Recent Clinical Applications, Implementation Strategies, and Challenges. Journal of Healthcare Leadership 2025;Volume 17:863 View