Abstract
Errors 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, although inevitable, offer opportunities for professional growth and
systemic improvement in patient care.
Keywords
radiology - diagnostic errors - cognitive bias - continuous learning - communication
