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Abstract

The integration of Artificial Intelligence (AI) in healthcare is transforming the way medical data is analyzed and utilized for improving patient care and outcomes. This article explores the emerging trends in AI for data-driven healthcare solutions, with a particular focus on the utilization of machine learning (ML), deep learning (DL), and natural language processing (NLP) in medical diagnosis, treatment planning, and healthcare system optimization. These AI-driven technologies enable the efficient processing and analysis of large volumes of healthcare data, including medical images, electronic health records (EHRs), and genomic data. The article examines the advancements, challenges, and future directions of AI in healthcare, emphasizing its potential to revolutionize clinical decision-making, personalized treatment, and healthcare delivery on a global scale.