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

Artificial Intelligence (122) Artificial Intelligence (1216) Clinical Information and Decision Making (1340) Decision Support for Health Professionals (1147)

Published on in Vol 1, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41940, first published .
Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

Authors of this article:

Barbara Barry1, 2 Author Orcid Image ;   Xuan Zhu2 Author Orcid Image ;   Emma Behnken3 Author Orcid Image ;   Jonathan Inselman2 Author Orcid Image ;   Karen Schaepe2 Author Orcid Image ;   Rozalina McCoy4 Author Orcid Image ;   David Rushlow5 Author Orcid Image ;   Peter Noseworthy6 Author Orcid Image ;   Jordan Richardson7 Author Orcid Image ;   Susan Curtis7 Author Orcid Image ;   Richard Sharp7 Author Orcid Image ;   Artika Misra8 Author Orcid Image ;   Abdulla Akfaly9 Author Orcid Image ;   Paul Molling10 Author Orcid Image ;   Matthew Bernard5 Author Orcid Image ;   Xiaoxi Yao1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Wichmann J, Gesk T, Leyer M. Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical Model. JMIR Formative Research 2024;8:e48600 View