Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29626
Title: Big Data, Machine Learning, and Artificial Intelligence to Advance Cancer Care: Opportunities and Challenges
Authors: Charalambous, Andreas 
Dodlek, Nikolina 
Major Field of Science: Medical and Health Sciences
Field Category: MEDICAL AND HEALTH SCIENCES
Keywords: Artificial intelligence;Big data;Cancer care;Diagnostics;Machine learning;Telemonitoring
Issue Date: Jun-2023
Source: Seminars in oncology nursing, 2023, vol. 39, no. 3, pp. 1-4
Volume: 39
Issue: 3
Start page: 1
End page: 4
Journal: Seminars in oncology nursing 
Abstract: The rapid advances in artificial intelligence (AI), big data, and machine learning (ML) technologies hold promise for personalized, equitable cancer care and improved health outcomes within the context of cancer and beyond. Furthermore, integrating these technologies into cancer research has been effective in addressing many of the challenges for cancer control and cure. This can be achieved through the insights generated from massive amounts of data, in ways that can help inform decisions, interventions, and precision cancer care. AI, big data, and ML technologies offer, either in isolation or in combination, unconventional pathways that facilitate the better understanding and management of cancer and its impact on the person. The value of AI, big data, and ML technologies has been acknowledged and integrated within the Cancer Moonshot program in the U.S. and the EU Beating Cancer Plan in Europe.
URI: https://hdl.handle.net/20.500.14279/29626
ISSN: 07492081
DOI: 10.1016/j.soncn.2023.151429
Rights: Copyright © Elsevier B.V.
Type: Article
Affiliation : Cyprus University of Technology 
University of Turku 
Clinical Medical Center Osijek 
Appears in Collections:Άρθρα/Articles

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