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

Innovations and Technology for Cancer Prevention and Screening (145) Imaging Informatics (190) Artificial Intelligence (1313) User Needs and Competencies (289) Decision Support for Health Professionals (1157) Clinical Cancer Research (77) Health Services Research in Oncology (33) Innovations in Cancer Diagnostic and Decision Support (56)

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

Authors of this article:

Iman Hesso1 Author Orcid Image ;   Lithin Zacharias1 Author Orcid Image ;   Reem Kayyali1 Author Orcid Image ;   Andreas Charalambous2 Author Orcid Image ;   Maria Lavdaniti3 Author Orcid Image ;   Evangelia Stalika3 Author Orcid Image ;   Tarek Ajami4 Author Orcid Image ;   Wanda Acampa5 Author Orcid Image ;   Jasmina Boban6 Author Orcid Image ;   Shereen Nabhani-Gebara1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .