The Use of AI in Enhancing Medical Imaging

The integration of Artificial Intelligence (AI) into medical imaging represents a groundbreaking advancement in healthcare, enabling faster and more accurate diagnostics. AI enhances the interpretation of medical images, optimizes image reconstruction, and assists in disease detection across various imaging modalities such as X-ray, MRI, and CT. Machine learning, particularly deep learning algorithms, aids in automating routine diagnostic tasks, improving image quality, and identifying complex patterns linked to diseases. While AI has shown remarkable potential, challenges such as algorithmic bias, limited generalizability, and high implementation costs in developing regions remain. This paper addresses these obstacles, alongside further AI development, which could revolutionize the future of medical imaging. Keywords: Artificial Intelligence, Medical Imaging, Machine Learning, Deep Learning, Image Reconstruction.