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

Formative Evaluation of Digital Health Interventions (2491) JMIR Theme Issue: COVID-19 Special Issue (2461) Early Results from COVID-19 Studies (309) Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Outbreak and Pandemic Preparedness and Management (1743) Artificial Intelligence (1421) mHealth in a Clinical Setting (624) Design and Usability of Clinical Software and EHRs (271) Human Factors and Usability Case Studies (809) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infectious Diseases (non-STD/STI) (1592)

Published on in Vol 5, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27992, first published .
Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis

Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis

Authors of this article:

Ahmed Abdulaal1 Author Orcid Image ;   Aatish Patel1 Author Orcid Image ;   Ahmed Al-Hindawi1 Author Orcid Image ;   Esmita Charani2 Author Orcid Image ;   Saleh A Alqahtani3, 4 Author Orcid Image ;   Gary W Davies1 Author Orcid Image ;   Nabeela Mughal1, 2, 5 Author Orcid Image ;   Luke Stephen Prockter Moore1, 2, 5 Author Orcid Image
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