Machine learning predicts match success in integrated plastic surgery, suggesting improvements in selection equity.
Our machine-learning-based statistical model accurately identified predictors of match success in integrated plastic surgery. As the residency selection landscape evolves, efforts to improve transparency, standardization, and evidence-based advising will be critical in promoting equity and optimizing match outcomes.
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Palmer et al. (2026) studied this question.
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