This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3227) Epublishing and Open Access (104) Mobile Health (mhealth) (3461)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60465, first published .
Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study

Authors of this article:

Amar Dhand1, 2 Author Orcid Image ;   Rama Mangipudi3 Author Orcid Image ;   Anubodh S Varshney4 Author Orcid Image ;   Jonathan R Crowe5, 6 Author Orcid Image ;   Andria L Ford7 Author Orcid Image ;   Nancy K Sweitzer8 Author Orcid Image ;   Min Shin9 Author Orcid Image ;   Samuel Tate9 Author Orcid Image ;   Haissam Haddad3 Author Orcid Image ;   Michael E Kelly10 Author Orcid Image ;   James Muller11 Author Orcid Image ;   Jay S Shavadia3 Author Orcid Image
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Journals

  1. Khalifa A, Abdulaziz M, Parvez S, Salem A, Panhwer H, Saleem U, Eldeeb M, Weld-Ali T, Mosaad M. The Digital Revolution in Cardiac Ischemia: Artificial Intelligence (AI)-Enhanced Detection, Diagnosis, and Risk Stratification. Cureus 2025 View