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Use of a Machine Learning Program for Urogynecology Fellowship Applicant Review
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Zitationen
5
Autoren
2026
Jahr
Abstract
A significant positive correlation was found between Halsted rankings of applicants and rankings assigned by PDs. In addition, significant differences in interprogram rankings of applicants suggest that there is a range of qualities that each program values and that application review is individualized. Machine learning assistance in application review is a developing tool with the potential to reduce bias and decrease program administrative burden.
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