Abstract
The integration of artificial intelligence (AI) in healthcare imaging has transformed diagnostic capabilities by enabling the analysis of complex medical images. Neural networks, particularly convolutional neural networks (CNNs), have demonstrated outstanding success in detecting and diagnosing a range of medical conditions through imaging techniques such as X-rays, MRIs, and CT scans. This article explores how AI, through deep learning algorithms, is improving the accuracy and speed of diagnoses, enhancing medical image interpretation, and reducing human error. We discuss the challenges, ethical considerations, and future potential of AI in healthcare imaging to provide more efficient, personalized, and accurate healthcare solutions.
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