The integration of artificial intelligence (AI) and machine learning (ML) into medical practice marks a transformative shift within healthcare delivery, diagnostics, and treatment paradigms. Although AI systems exhibit sophisticated capabilities in image recognition, predictive analytics, and clinical decision support, their implementation introduces fundamental ethical and legal questions requiring thorough examination. This review addresses the primary ethical principles relevant to AI in medicine – including respect for patient autonomy, beneficence, non-maleficence, and justice – alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.
