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

Formative Evaluation of Digital Health Interventions (5233) Epublishing and Open Access (154) Mobile Health (mhealth) (5226)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60465, first published .
Woman in glasses using smartphone, wearing white cardigan

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
Article Authors Cited by (2) Tweetations (1) Metrics

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

Conference Proceedings

  1. Alam K, Ghose S, Upama P, Rabbani M, Iqbal I, Kolli H, Ahamed S. 2026 IEEE International Conference on Digital Health (ICDH). Towards Developing an mHealth Platform for Stroke Screening Utilizing Audio-Video Recordings View