Artificial intelligence (AI) stands at the forefront of a diagnostic revolution, fundamentally transforming how diseases are identified, often with unprecedented speed and accuracy. Machine learning algorithms, particularly deep learning, are now adept at processing vast quantities of medical imaging data – X-rays, MRIs, CT scans, and pathology slides – often surpassing human capabilities in pattern recognition for specific tasks. In radiology, AI systems can flag
