EXPLORING THE TRANSFORMATIVE ROLE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE

Abstract

The objective of this study is to monitor ongoing scientific advancements, assess the accessibility of technology, recognize the vast potential of artificial intelligence (AI) in biomedicine, and encourage researchers in related fields. With continuous innovations, AI is significantly transforming healthcare by improving diagnostics, treatment planning, patient management, and drug discovery. The rapid evolution of AI-driven technologies, such as machine learning, deep learning, and natural language processing, has expanded the scope of their applications in medical imaging, personalized medicine, robotic surgery, and predictive analytics. These advancements are expected to grow exponentially, revolutionizing patient care and healthcare systems. This paper provides an overview of recent AI developments in healthcare, highlighting their impact on disease detection, early diagnosis, and treatment outcomes. AI-driven tools enhance precision in medical decision-making, reduce human errors, and optimize healthcare delivery. However, integrating AI into healthcare comes with ethical challenges, including data privacy, bias in algorithms, regulatory concerns, and the need for transparent AI models. Addressing these ethical concerns is crucial for ensuring the responsible use of AI in medicine. By summarizing key advancements and ethical considerations, this study aims to contribute to the understanding of AI's transformative role in healthcare and inspire further research in this rapidly evolving field.

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