A practical guide to the implementation of AI in orthopaedic research—Part 5: Data management

Abstract While the magnitude and types of data available to orthopaedic researchers are steadily growing, standardized and efficient data management workflows for orthopaedic research using artificial intelligence (AI) are currently lacking. This work introduces essential principles and best practic...

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Библиографические подробности

Главные авторы:	Bálint Zsidai, Felix Oettl, James A. Pruneski, Gergely Pánics, Philipp W. Winkler, Eric Hamrin Senorski, Michael T. Hirschmann, Yinan Yu, Robert Feldt, Kristian Samuelsson, ESSKA Artificial Intelligence Working Group
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Wiley 2025-10-01
Серии:	Journal of Experimental Orthopaedics
Предметы:	artificial intelligence causal inference data analysis machine learning methods
Online-ссылка:	https://doi.org/10.1002/jeo2.70581
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