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

Iman Hesso   1 , MSc, PhD ;   Lithin Zacharias   1 , MSW, MPhil, PhD ;   Reem Kayyali   1 , MSc Biopharmacy, PhD ;   Andreas Charalambous   2 , MSc, PhD ;   Maria Lavdaniti   3 , PhD ;   Evangelia Stalika   3 , MSc, PhD ;   Tarek Ajami   4 , MD ;   Wanda Acampa   5 , MD, PhD ;   Jasmina Boban   6 , MD, PhD ;   Shereen Nabhani-Gebara   1 , PharmD

1 Pharmacy Department, Faculty of Health, Science, Social Care and Education, Kingston University London, Kingston Upon Thames, United Kingdom

2 Department of Nursing, Cyprus University of Technology, Limassol, Cyprus

3 Department of Nursing, International Hellenic University, Thessaloniki, Greece

4 Urology Department, Hospital Clinic de Barcelona, Barcelona, Spain

5 Department of Advanced Biomedical Science, University of Naples Federico II, Naples, Italy

6 Department of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, RS

Corresponding Author:

  • Shereen Nabhani-Gebara, PharmD
  • Pharmacy Department
  • Faculty of Health, Science, Social Care and Education
  • Kingston University London
  • Penrhyn Road
  • Kingston Upon Thames, KT1 2EE
  • United Kingdom
  • Phone: 44 2084177413
  • Email: S.Nabhani@kingston.ac.uk