TY - GEN
T1 - Scoping Review
T2 - 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023
AU - Al-Hwsali, Anwar
AU - Alsaadi, Balqes
AU - Abdi, Nima
AU - Khatab, Shaza
AU - Alzubaidi, Mahmood
AU - Solaiman, Barry
AU - Househ, Mowafa
N1 - Publisher Copyright:
© 2023 The authors and IOS Press.
PY - 2023/6/29
Y1 - 2023/6/29
N2 - The growing accessibility of large health datasets and AI's ability to analyze them offers significant potential to transform public health and epidemiology. AI-driven interventions in preventive, diagnostic, and therapeutic healthcare are becoming more prevalent, but they raise ethical concerns, particularly regarding patient safety and privacy. This study presents a thorough analysis of ethical and legal principles found in the literature on AI applications in public health. A comprehensive search yielded 22 publications for review, revealing ethical principles such as equity, bias, privacy, security, safety, transparency, confidentiality, accountability, social justice, and autonomy. Additionally, five key ethical challenges were identified. The study emphasizes the importance of addressing these ethical and legal concerns and encourages further research to establish comprehensive guidelines for responsible AI implementation in public health.
AB - The growing accessibility of large health datasets and AI's ability to analyze them offers significant potential to transform public health and epidemiology. AI-driven interventions in preventive, diagnostic, and therapeutic healthcare are becoming more prevalent, but they raise ethical concerns, particularly regarding patient safety and privacy. This study presents a thorough analysis of ethical and legal principles found in the literature on AI applications in public health. A comprehensive search yielded 22 publications for review, revealing ethical principles such as equity, bias, privacy, security, safety, transparency, confidentiality, accountability, social justice, and autonomy. Additionally, five key ethical challenges were identified. The study emphasizes the importance of addressing these ethical and legal concerns and encourages further research to establish comprehensive guidelines for responsible AI implementation in public health.
KW - Artificial Intelligence
KW - Equity
KW - Ethical
KW - Legal
KW - Public Health
UR - http://www.scopus.com/inward/record.url?scp=85164233208&partnerID=8YFLogxK
U2 - 10.3233/SHTI230579
DO - 10.3233/SHTI230579
M3 - Conference contribution
C2 - 37387113
AN - SCOPUS:85164233208
T3 - Studies in Health Technology and Informatics
SP - 640
EP - 643
BT - Healthcare Transformation with Informatics and Artificial Intelligence
A2 - Mantas, John
A2 - Gallos, Parisis
A2 - Zoulias, Emmanouil
A2 - Hasman, Arie
A2 - Househ, Mowafa S.
A2 - Charalampidou, Martha
A2 - Magdalinou, Andriana
PB - IOS Press BV
Y2 - 1 July 2023 through 3 July 2023
ER -