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

Foundations of AI (47) Artificial Intelligence (1556) AI Data (13)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51168, first published .
Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study

Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study

Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study

Authors of this article:

Kassandra Karpathakis1 Author Orcid Image ;   Emma Pencheon2 Author Orcid Image ;   Dominic Cushnan3 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. Minds and Machines 2024;34(4) View
  2. Bukke S, Komarla Kumarachari R, Komarla Rajasekhar E, Dudekula J, Kamati M. Computational intelligence techniques for achieving sustainable development goals in female cancer care. Discover Sustainability 2024;5(1) View
  3. Werder K, Cao L, Park E, Ramesh B. Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective. Journal of Medical Internet Research 2025;27:e51785 View

Books/Policy Documents

  1. Lakshmaiah A, Korrapati C, Suresh C, Raghavan R. Spatially Variable Genes in Cancer. View