Autonomy and AI-Based Healthcare
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Abstract
The integration of artificial intelligence (AI) into healthcare has the potential to revolutionize diagnostics, treatment planning, and patient care, but it also raises critical questions about autonomy. AI-based systems can analyze vast datasets, identify patterns beyond human perception, and provide predictive insights, offering unprecedented support to clinicians and patients. However, as AI assumes greater decision-making roles, concerns emerge regarding patient autonomy, clinician authority, and the ethical delegation of responsibility. This article argues that while AI can enhance healthcare efficiency and precision, it should complement rather than replace human judgment. Maintaining autonomy requires transparent algorithms, explainable AI, informed patient consent, and clear boundaries for AI intervention. Balancing the benefits of AI with ethical and regulatory oversight is essential to preserve trust, accountability, and human-centered care. By critically examining autonomy in AI-driven healthcare, stakeholders can harness innovation responsibly while safeguarding patient rights and clinical integrity.
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AI in Healthcare, Autonomy, Ethics, Patient-Centered Care, Clinical Decision-Making
No funding source declared.
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