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Ethical framework for artificial intelligence in healthcare research: A path to integrity
Ahmad A Abujaber1, Abdulqadir J Nashwan2
1Department of Nursing, Hazm Mebaireek General Hospital (HMGH), Doha 3050, Qatar.
World Journal of Methodology
|September 23, 2024
Summary
Artificial Intelligence (AI) in healthcare research offers great promise but raises ethical concerns. This article proposes a governance framework to ensure AI is used responsibly and ethically in medical research.
Area of Science:
- Medical Research
- Artificial Intelligence
- Bioethics
Background:
- AI integration in healthcare research is rapidly advancing medical diagnostics, personalized treatment, and patient care.
- Significant ethical challenges accompany AI innovations, impacting public trust, patient safety, and data integrity.
Discussion:
- Addressing ethical challenges is crucial for responsible AI deployment in healthcare.
- A systematic governance framework is needed to guide AI development and execution in medical research.
- Ensuring adherence to medical research ethics is paramount for maintaining integrity.
Key Insights:
- AI offers transformative potential for healthcare research.
- Ethical considerations are critical for the safe and trustworthy implementation of AI.
- A structured governance approach is essential for ethical AI in medicine.
Outlook:
- Developing robust ethical guidelines and governance structures for AI in healthcare research.
- Fostering public trust through transparent and responsible AI practices.
- Promoting the ethical advancement of AI to maximize benefits in patient care and medical discovery.
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