The Impact of Artificial Intelligence on X-Ray Interpretation and Diagnostic Accuracy

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AI enhances diagnostic accuracy in x-ray interpretation, addressing cognitive limitations of human analysts.
AI models achieve sensitivity and specificity improvements over human radiologists, particularly in mammography screening.
Ethical challenges include algorithmic bias and data privacy, needing attention for responsible AI deployment.
A collaborative human-AI approach is crucial, ensuring continuous validation and transparency in clinical applications.

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This review examines AI's role in enhancing diagnostic accuracy for x-ray interpretation, highlighting critical challenges in clinical settings.

ALHARBI et al. (2025) studied this question.

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This review examines AI's role in enhancing diagnostic accuracy for x-ray interpretation, highlighting critical challenges in clinical settings.