Ethical Considerations in AI-Assisted Diagnosis: Balancing Privacy, Accuracy, and Patient Autonomy
Abstract
As artificial intelligence (AI) continues to advance, its integration into healthcare systems for assisting in medical diagnosis is becoming more prevalent. While AI offers potential benefits such as improved accuracy and efficiency in diagnosis, it also raises significant ethical considerations. This paper explores the ethical implications surrounding AI-assisted diagnosis, focusing on the need to balance privacy, accuracy, and patient autonomy. We discuss the challenges of maintaining patient privacy while utilizing sensitive health data for AI algorithms, ensuring the accuracy and reliability of AI diagnostic systems, and respecting patient autonomy in decision-making processes. Furthermore, we examine various approaches and frameworks for addressing these ethical dilemmas and propose recommendations for policymakers, healthcare professionals, and AI developers to navigate these complexities responsibly.
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References
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