Enhancing Error Detection in Clinical Laboratories Using Machine Learning
Enhancing Error Detection in Clinical Laboratories Using Machine Learning: A Multicenter Retrospective Study Introduction Laboratory tests’ precision and reliability are paramount for accurate diagnostics. However, errors, particularly sample misidentification, pose significant risks to patient safety. Traditional methods like delta checks, used to detect such errors, often need more sensitivity and specificity. A recent study titled […]
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