A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges

A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges

Abstract Artificial intelligence (AI) has the potential to transform medical research by improving disease diagnosis, clinical decision‐making, and outcome prediction. Despite the rapid adoption of AI and machine learning (ML) in other domains and industry, deployment in medical research and clinica...

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Bibliographic Details
Main Authors: Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre, Eric Narup, Eric Hamrin Senorski, Alberto Grassi, Christophe Ley, Umile Giuseppe Longo, Elmar Herbst, Michael T. Hirschmann, Sebastian Kopf, Romain Seil, Thomas Tischer, Kristian Samuelsson, Robert Feldt, ESSKA Artificial Intelligence Working Group
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Experimental Orthopaedics
Subjects:
Artificial intelligence
AI
Machine learning
ML
Large language models
Ethics
Online Access:https://doi.org/10.1186/s40634-023-00683-z

Internet

https://doi.org/10.1186/s40634-023-00683-z

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