Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40973, first published .
Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Journals

  1. Ewals L, Heesterbeek L, Yu B, van der Wulp K, Mavroeidis D, Funk M, Snijders C, Jacobs I, Nederend J, Pluyter J. The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study. JMIR AI 2024;3:e52211 View
  2. Mahrishi M, Abbas A, Siddiqui M. Global Initiatives Towards Regulatory Frameworks for Artificial Intelligence (AI) in Higher Education. Digital Government: Research and Practice 2024 View
  3. Garcia-Saiso S, Marti M, Pesce K, Luciani S, Mujica O, Hennis A, D'Agostino M. Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care. JMIR Cancer 2024;10:e57276 View
  4. Wiljer D, Paton M, Jeyakumar T, Do V, Maniate J, Tavares W, Schneeweiss S. Serendipitous Pathways and Elusive Definitions: Leadership in Continuing Professional Development. Journal of Continuing Education in the Health Professions 2024 View

Books/Policy Documents

  1. Verma P, Rao C, Chapalamadugu P, Tiwari R, Upadhyay S. Next-Generation Cybersecurity. View
  2. Reis da Silva T. Physical Health, Mental Health, and Human Well-Being in the Age of AI. View