Abstract
<p>The integration of artificial intelligence (AI) into healthcare has ushered in transformative advancements. In diagnostics, AI has revolutionized precision by excelling in radiology, pathology, and novel approaches like liquid biopsy analysis. Personalized treatment plans benefit from AI's ability to tailor interventions, minimizing risks and maximizing therapeutic efficacy. Administrative efficiency sees notable improvements as AI automates tasks, optimizes resource allocation, and addresses scalability challenges. Ethical considerations, encompassing data privacy, algorithmic bias, and transparency, are crucial for responsible AI adoption. Guided by the fair principles, stakeholders can promote fairness, accountability, and transparency. Findings in this paper reveal AI's rapid advancements in healthcare enhance diagnostics, surgery, and patient care, yet reliance on its accuracy requires caution. The future of AI in healthcare relies on ongoing collaboration, research, and adherence to ethical frameworks, promising a patient-centered and equitable healthcare landscape.</p>
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