Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52639, first published .
Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study

Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study

Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study

Journals

  1. Abdelwanis M, Simsekler M, Gabor A, Sleptchenko A, Omar M. Artificial intelligence adoption challenges from healthcare providers’ perspectives: A comprehensive review and future directions. Safety Science 2026;193:107028 View
  2. Zacharias L, Hesso I, Kayyali R, Charalambous A, Triumbari E, Chouvarda I, Loncar-Turukalo T, Sykiotis S, Symvoulidis C, Gutierrez-Torre A, Nasikas D, Kogut–Czarkowska M, Roussakis Y, Maria C, Maria L, Trias S, Herrera D, Tsave O, Alcaraz A, Fotopoulos D, Vevis K, Mengual L, Doulamis N, Jakovljević N, George P, Diana P, Finitsis S, Ajami T, Evanthia V, Zdravkovic V, Nabhani-Gebara S. Evaluation of the INCISIVE Services in Cancer Imaging: A Feasibility Study. Seminars in Oncology Nursing 2026;42(1):152088 View

Books/Policy Documents

  1. Zacharias L, Nabhani-Gebara S, Chouvarda I, Loncar-Turukalo T. Critical Perspectives on Technological Innovations in Healthcare. View