Equitable Implementation of Artificial Intelligence in Medical Imaging: What Can be Learned from Implementation Science?

Volume: 16, Issue: 4, Pages: 643 - 653
Published: Oct 1, 2021
Abstract
Artificial intelligence (AI) has been rapidly adopted in various health care domains. Molecular imaging, accordingly, has demonstrated growing academic and commercial interest in AI. Unprepared and inequitable implementation and scale-up of AI in health care may pose challenges. Implementation of AI, as a complex intervention, may face various barriers, at individual, interindividual, organizational, health system, and community levels. To...
Paper Details
Title
Equitable Implementation of Artificial Intelligence in Medical Imaging: What Can be Learned from Implementation Science?
Published Date
Oct 1, 2021
Volume
16
Issue
4
Pages
643 - 653
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.