Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics

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Incorporating artificial intelligence and machine learning enhances diagnostic accuracy in radiology.
Deep learning models, such as convolutional neural networks, outperform human radiologists in specific tasks.
AI applications include predictive analytics for patient outcomes, optimizing healthcare resources effectively.
Addressing data protection and legal issues is crucial for successful AI integration in healthcare settings.

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This article explores AI and ML applications in radiology, highlighting diagnostic accuracy and efficiency improvements.

VS et al. (2025) studied this question.

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