Introduction Nobel laureate Oliver Smithies once said, “When you teach, you learn more than you knew before.” This simple yet profound idea underscores a universal truth: teaching is not just an act of transferring knowledge—it’s a catalyst for innovation, personal growth, and
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Artificial intelligence is reshaping every facet of healthcare—and radiology is no exception. With the exponential increase in imaging data, rising demands for faster diagnosis, and the pressing need to reduce human error, AI-driven systems are emerging as indispensable allies for radiologists and
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