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https://hdl.handle.net/20.500.14279/33232| Τίτλος: | Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help? | Συγγραφείς: | 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 | Λέξεις-κλειδιά: | Treatment;Cancer;Cancer care;Care pathway;Comparative analysis;Delay;Diagnosis | Ημερομηνία Έκδοσης: | Μαρ-2024 | Πηγή: | Journal of cancer policy, 2024, vol. 39 | Volume: | 39 | Περιοδικό: | Journal of Cancer Policy | Περίληψη: | 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 |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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| 1-s2.0-S2213538323000747-main.pdf | 13.45 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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