KOSIN UNIVERSITY COLLEGE OF MEDICINE
Search
- Page Path
- HOME > Search
Review article
- The ethics of using artificial intelligence in medical research
- Shinae Yu, Sang-Shin Lee, Hyunyong Hwang
- Kosin Med J. 2024;39(4):229-237. Published online December 6, 2024
- DOI: https://doi.org/10.7180/kmj.24.140
- 65,535 View
- 682 Download
- 9 Citations
-
Abstract
PDF
PubReader 
ePub
- The integration of artificial intelligence (AI) technologies into medical research introduces significant ethical challenges that necessitate the strengthening of ethical frameworks. This review highlights the issues of privacy, bias, accountability, informed consent, and regulatory compliance as central concerns. AI systems, particularly in medical research, may compromise patient data privacy, perpetuate biases if they are trained on nondiverse datasets, and obscure accountability owing to their “black box” nature. Furthermore, the complexity of the role of AI may affect patients’ informed consent, as they may not fully grasp the extent of AI involvement in their care. Compliance with regulations such as the Health Insurance Portability and Accountability Act and General Data Protection Regulation is essential, as they address liability in cases of AI errors. This review advocates a balanced approach to AI autonomy in clinical decisions, the rigorous validation of AI systems, ongoing monitoring, and robust data governance. Engaging diverse stakeholders is crucial for aligning AI development with ethical norms and addressing practical clinical needs. Ultimately, the proactive management of AI’s ethical implications is vital to ensure that its integration into healthcare improves patient outcomes without compromising ethical integrity.
-
Citations
Citations to this article as recorded by
- Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions
Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi
Bioengineering.2025; 12(5): 513. CrossRef - Current Bioinformatics Tools in Precision Oncology
Tesfaye Wolde, Vipul Bhardwaj, Vijay Pandey
MedComm.2025;[Epub] CrossRef - Case Report: Intranasal esketamine combined with a form of generative artificial intelligence in the management of treatment-resistant depression
Alexandre Fraichot, Sophie Favre, Hélène Richard-Lepouriel
Frontiers in Psychiatry.2025;[Epub] CrossRef - Future Designs of Clinical Trials in Nephrology: Integrating Methodological Innovation and Computational Power
Camillo Tancredi Strizzi, Francesco Pesce
Sensors.2025; 25(16): 4909. CrossRef - The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges
Salar Baghbani, Yoosef Mehrabi, Mohammad Movahedinia, Erfan Babaeinejad, Mohammadamin Joshaghanian, Shayan Amiri, Mostafa Shahrezaee
Journal of Robotic Surgery.2025;[Epub] CrossRef - Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study
Sergio Ayala-De la Cruz, Paola Elizabeth Arenas-Hernández, María Fernanda Fernández-Herrera, Rebeca Alejandrina Quiñones-Díaz, Jorge Martín Llaca-Díaz, Erik Alejandro Díaz-Chuc, Diana Guadalupe Robles-Espino, Erik Alejandro San Miguel-Garay
Journal of Clinical Medicine.2025; 14(18): 6676. CrossRef - Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review
Yuhang Lin, Zhiheng Luo, Zicheng Ye, Nuoxi Zhong, Lijian Zhao, Long Zhang, Xiaolan Li, Zetao Chen, Yijia Chen
JMIR Medical Education.2025; 11: e71125. CrossRef - Ética, empatia e IA: como equilibrar decisões automatizadas e julgamento clínico humanizado
Iranildo Lopes de Oliveira, Rivana Ferreira de Souza, João Victor de Amorim Batista, Iara Costa Silvano, Ana Caroline Rocha de Melo Leite, Rodolfo de Melo Nunes
Cuadernos de Educación y Desarrollo.2025; 17(10): e9794. CrossRef - Machine learning in lupus nephritis: bridging prediction models and clinical decision-making towards personalized nephrology
Diego Fernando Garcia-Bañol, Adrianny Mahelis Arias-Choles, Silvia Aldana-Peréz, Gustavo J. Aroca-Martínez, Carlos Guido Musso, Roberto Navarro-Quiroz, Alex Dominguez-Vargas, Henry J. Gonzalez-Torres
Frontiers in Medicine.2025;[Epub] CrossRef
- Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions
First
Prev
