Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57111, first published .
Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

Journals

  1. Gosser C, Daniel L, Huecker M, Cavallazzi R, Rivas H, Thomas J, Close R. Mobile Phone Auscultation Accurately Diagnoses Chronic Obstructive Pulmonary Disease Using Nonlinear Respiratory Biofluid Dynamics. Diagnostics 2025;15(12):1550 View
  2. Liu Y, Oloko-Oba M, Wood K, Lloyd M, Ho J, Hertzberg V. Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims Database. JMIR Cardio 2025;9:e77380 View
  3. Huecker M, Close R, Mattingly J, Studebaker H, Zeigler C, O’Brien D, Thomas J. Mobile phone auscultation to delineate pneumonia from other respiratory conditions and controls: a prospective cohort study. BMC Pulmonary Medicine 2026 View
  4. Otte E, Huecker M. Mobile phone auscultation to detect carotid stenosis and cerebral ischemia. The American Journal of Emergency Medicine 2026 View