ARTIFICIAL INTELLIGENCE IN RADIOLOGY: ENHANCING DIAGNOSTIC ACCURACY
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Abstract
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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