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Opportunities and Risks in the Use of Artificial Intelligence Models in Healthcare

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dc.contributor.author BUZDUGAN, Aurelian
dc.contributor.author CAPATANA, Gheorghe
dc.contributor.author BUZDUGAN, Artur
dc.date.accessioned 2023-11-14T08:55:18Z
dc.date.available 2023-11-14T08:55:18Z
dc.date.issued 2023
dc.identifier.citation BUZDUGAN, Aurelian, CAPATANA, Gheorghe, BUZDUGAN, Artur. Opportunities and Risks in the Use of Artificial Intelligence Models in Healthcare. In: 6th International Conference on Nanotechnologies and Biomedical Engineering: proc. of ICNBME-2023, 20–23, 2023, Chisinau, vol. 2: Biomedical Engineering and New Technologies for Diagnosis, Treatment, and Rehabilitation, 2023, p. 191-198. ISBN 978-3-031-42781-7. e-ISBN 978-3-031-42782-4. en_US
dc.identifier.isbn 978-3-031-42781-7
dc.identifier.isbn 978-3-031-42782-4
dc.identifier.uri https://doi.org/10.1007/978-3-031-42782-4_21
dc.identifier.uri http://repository.utm.md/handle/5014/24788
dc.description Acces full text - https://doi.org/10.1007/978-3-031-42782-4_21 en_US
dc.description.abstract The advancements in artificial intelligence are triggering discussions on transforming many processes in the industry, society or economy, including the healthcare sector. The new capabilities offered by emerging technologies applied in healthcare help deliver more accurate and efficient diagnoses and treatment options. Artificial intelligence models can be used for various purposes in healthcare, from functions such as personal assistant, up to analyzing data and providing recommendations for tasks such as medical imaging analysis, drug development, disease identification, and emergency support. Furthermore, artificial intelligence models can support research actions, to speed up the development of certain cures or medicines. They can also assist in detecting high-risk conditions in patients, discovering and researching new drugs and medicines, and developing new treatment plans. However, these digital technologies come with cybersecurity risks, both due to the underlying technical systems, such as computers used, up to the risks or issues in the models themselves, which can lead to questions on the accuracy of the recommendations and solutions provided by the models, or data breaches and cyber-attacks. Such incidents can lead to serious consequences, including compromised data privacy and safety. This paper presents some potential use cases of the AI model in the healthcare industry. In addition, several cyber security recommendations are offered to ensure that the adoption and use of such emerging tools minimize potential cyber risks. en_US
dc.language.iso en en_US
dc.publisher Springer Nature Switzerland en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject cybersecurity en_US
dc.subject artificial intelligence en_US
dc.subject artificial intelligence models en_US
dc.subject healthcare en_US
dc.title Opportunities and Risks in the Use of Artificial Intelligence Models in Healthcare en_US
dc.type Article en_US


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  • 2023
    6th International Conference on Nanotechnologies and Biomedical Engineering, September 20–23, 2023, Chisinau, Moldova

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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