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Abstract

Artificial Intelligence (AI) is revolutionizing the field of biomedical diagnostics by offering unprecedented capabilities to analyze medical data with speed and accuracy. With the integration of machine learning algorithms, deep learning, and neural networks, AI systems have the potential to identify patterns in large datasets that may go unnoticed by human experts, enhancing early detection, improving diagnostic accuracy, and reducing healthcare costs. This article explores the role of AI in biomedical diagnostics, focusing on the application of AI technologies across various diagnostic platforms, including medical imaging, genomics, personalized medicine, and point-of-care devices. It also examines the challenges in implementing AI into clinical workflows and discusses the future potential of AI in transforming diagnostic practices in healthcare.