ARTIFICIAL INTELLIGENCE IN RADIOLOGY: ENHANCING DIAGNOSTIC ACCURACY
DOI:
https://doi.org/10.55640/Keywords:
artificial intelligence, radiology, diagnostic accuracy, deep learning, medical imagingAbstract
Artificial intelligence (AI) has become increasingly integrated into healthcare, particularly in radiology, where it aids image interpretation and enhances diagnostic precision. This article explores the clinical impact of AI-assisted radiological interpretation, focusing on its effectiveness in detecting pulmonary nodules, fractures, and intracranial hemorrhage. A multicenter observational study involving 500 radiologic cases revealed that AI support significantly improved diagnostic sensitivity, especially among junior radiologists. The findings highlight AI’s potential to serve as a reliable diagnostic aid, reducing human error and improving clinical decision-making.
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