Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33232
Title: Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?
Authors: Hesso, Iman 
Kayyali, Reem 
Zacharias, Lithin 
Charalambous, Andreas 
Lavdaniti, Maria 
Stalika, Evangelia 
Ajami, Tarek 
Acampa, Wanda 
Boban, Jasmina 
Gebara, Shereen Nabhani 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Treatment;Cancer;Cancer care;Care pathway;Comparative analysis;Delay;Diagnosis
Issue Date: Mar-2024
Source: Journal of cancer policy, 2024, vol. 39
Volume: 39
Journal: Journal of Cancer Policy 
Abstract: Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to explore the full potential of artificial intelligence (AI)-based technologies in cancer imaging to streamline diagnosis and management. The study aimed to map cancer care pathways (breast, prostate, colorectal and lung cancers) across INCISIVE partner countries, and identify bottle necks within these pathways.
URI: https://hdl.handle.net/20.500.14279/33232
ISSN: 22135383
DOI: 10.1016/j.jcpo.2023.100457
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Kingston University London 
Cyprus University of Technology 
International Hellenic University 
Aristotle University of Thessaloniki 
Funding: Horizon 2020 Framework Programme Horizon 2020 European Commission
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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