July 23, 2025

Artificial Intelligence in Radiology: Enhancing Diagnostic Accuracy through Deep Learning (Preprint)

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Artificial intelligence significantly enhances diagnostic accuracy in radiology compared to traditional methods.
Deep learning technologies, particularly convolutional neural networks, excel in image classification and abnormality detection.
AI aids in clinical decision-making and image quality improvement, streamlining workflows for radiologists.
Addressing ethical concerns and implementing AI responsibly are crucial for improving patient outcomes in radiology.

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Artificial intelligence improves diagnostic accuracy and workflows in radiology, highlighting its potential benefits and challenges.

Dongare et al. (2025) studied this question.

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