Artificial intelligence has been hailed as a transformative force in healthcare, especially in radiology. Advanced AI algorithms can analyze medical images in seconds, detect subtle abnormalities, and sometimes even outperform human radiologists on benchmark datasets. Yet, despite these advances, AI is not replacing radiologists anytime soon. Human expertise remains central to medical imaging, as real-world challenges, regulatory constraints, and the multifaceted role of radiologists keep AI firmly in a supporting role.

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Benchmarks vs real-world performance

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