AbstractErrors are an unavoidable aspect of medical practice, and radiology is no exception. In musculoskeletal radiology, the complexity of anatomy, subtle imaging findings, and cognitive biases contribute to significant challenges in diagnostic accuracy. This article examines personal experiences with diagnostic cognitive and perceptual errors, identifying key lessons learned and strategies to mitigate future mistakes through case-based analysis. It highlights recurring themes such as overreliance on prior reports, failure to consider contradictory clinical evidence, and premature diagnostic conclusions. Key strategies for improvement are structured reasoning processes, active hypothesis testing, continuous education, and fostering a culture of collaborative learning. The integration of artificial intelligence in radiology is also emphasized as a valuable tool to enhance diagnostic accuracy and streamline workflows.By addressing errors proactively and adopting evidence-based strategies, radiologists can cultivate a positive, supportive environment that prioritizes continuous learning, clear communication, and diagnostic excellence. This article serves as a reminder that errors, a
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