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

Applications of AI (80) Artificial Intelligence (1371) Ethical, Legal, and Social Issues in AI (32)

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 (5) 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
  2. Jin M, Noseworthy P, Yao X. Assessing Artificial Intelligence Solution Effectiveness: The Role of Pragmatic Trials. Mayo Clinic Proceedings: Digital Health 2024;2(4):499 View
  3. Rony M, Numan S, Johra F, Akter K, Akter F, Debnath M, Mondal S, Wahiduzzaman M, Das M, Ullah M, Rahman M, Das Bala S, Parvin M. Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care. Health Science Reports 2024;7(8) View
  4. Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics and Decision Making 2024;24(1) View
  5. Thao V, Zhu Y, Tseng A, Inselman J, Borah B, McCoy R, Attia Z, Lopez-Jimenez F, Pellikka P, Rushlow D, Friedman P, Noseworthy P, Yao X. Cost-Effectiveness of Artificial Intelligence-Enabled Electrocardiograms for Early Detection of Low Ejection Fraction: A Secondary Analysis of the Electrocardiogram Artificial Intelligence-Guided Screening for Low Ejection Fraction Trial. Mayo Clinic Proceedings: Digital Health 2024;2(4):620 View