Open Access
Open access
volume 5 issue 3 pages 1023-1035

Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate

Mohammad Mohammad Amini 1
Marcia Jesus 1
Davood Fanaei Sheikholeslami 1
Paulo Alves 2, 3
Aliakbar Hassanzadeh Benam 1
Fatemeh Hariri 1
Publication typeJournal Article
Publication date2023-08-07
scimago Q1
wos Q1
SJR1.437
CiteScore9.9
Impact factor6.0
ISSN25044990
Artificial Intelligence
Engineering (miscellaneous)
Abstract

This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, to reveal the ethical implications at each step. A comprehensive review of the literature categorizes research investigations into three main categories: Ethical Considerations in AI; Practical Challenges and Solutions in AI Integration; and Legal and Policy Implications in AI. The analysis uncovers a significant research deficit in this field, with a particular focus on data owner rights and AI ethics within GDPR compliance. To address this gap, the study proposes new case studies that emphasize the importance of comprehending data owner rights and establishing ethical norms for AI use in medical applications, especially in nursing. This review makes a valuable contribution to the AI ethics debate and assists nursing and healthcare professionals in developing ethical AI practices. The insights provided help stakeholders navigate the intricate terrain of data protection, ethical considerations, and regulatory compliance in AI-driven healthcare. Lastly, the study introduces a case study of a real AI health-tech project named SENSOMATT, spotlighting GDPR and privacy issues.

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GOST |
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GOST Copy
Mohammad Amini M. et al. Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate // Machine Learning and Knowledge Extraction. 2023. Vol. 5. No. 3. pp. 1023-1035.
GOST all authors (up to 50) Copy
Mohammad Amini M., Jesus M., Fanaei Sheikholeslami D., Alves P., Hassanzadeh Benam A., Hariri F. Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate // Machine Learning and Knowledge Extraction. 2023. Vol. 5. No. 3. pp. 1023-1035.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/make5030053
UR - https://doi.org/10.3390/make5030053
TI - Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
T2 - Machine Learning and Knowledge Extraction
AU - Mohammad Amini, Mohammad
AU - Jesus, Marcia
AU - Fanaei Sheikholeslami, Davood
AU - Alves, Paulo
AU - Hassanzadeh Benam, Aliakbar
AU - Hariri, Fatemeh
PY - 2023
DA - 2023/08/07
PB - MDPI
SP - 1023-1035
IS - 3
VL - 5
SN - 2504-4990
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Mohammad Amini,
author = {Mohammad Mohammad Amini and Marcia Jesus and Davood Fanaei Sheikholeslami and Paulo Alves and Aliakbar Hassanzadeh Benam and Fatemeh Hariri},
title = {Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate},
journal = {Machine Learning and Knowledge Extraction},
year = {2023},
volume = {5},
publisher = {MDPI},
month = {aug},
url = {https://doi.org/10.3390/make5030053},
number = {3},
pages = {1023--1035},
doi = {10.3390/make5030053}
}
MLA
Cite this
MLA Copy
Mohammad Amini, Mohammad, et al. “Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate.” Machine Learning and Knowledge Extraction, vol. 5, no. 3, Aug. 2023, pp. 1023-1035. https://doi.org/10.3390/make5030053.