DOI

10.1234/journal.2023.004

Keywords

Topics

Abstract

This paper examines the integration of artificial intelligence in healthcare settings, with particular attention to ethical considerations and practical clinical applications. We analyze case studies of AI implementation in diagnostic imaging, clinical decision support systems, and predictive analytics for patient outcomes. The ethical framework presented addresses issues of algorithmic bias, transparency, privacy, and the changing nature of the clinician-patient relationship. We propose governance structures and validation methodologies to ensure responsible AI deployment while maximizing benefits to patient care.

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