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Klemt, C., Yeo, I., Harvey, M., Burns, J.C., Melnic, C., Uzosike, A.C. and Kwon, Y.M. (2023) The Use of Artificial Intelligence for the Prediction of Periprosthetic Joint Infection Following Aseptic Revision Total Knee Arthroplasty. The Journal of Knee Surgery.
https://doi.org/10.1055/s-0043-1761259

has been cited by the following article:

• TITLE: Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

  AUTHORS: Neil Capes, Hiran Patel, Islam Sarhan, Gur-Aziz S. Sidhu, Neil Ashwood, Andrew Dekker

  KEYWORDS: Artificial Intelligence, ChatGPT

  JOURNAL NAME: Intelligent Information Management, Vol.16 No.1, January 11, 2024

  ABSTRACT: ChatGPT has obvious benefits in the way it can interrogate vast amounts of reference information and utilise metadata generation to answer questions posed to it and is freely available having been developed through human feedback. Already there are ethical and practical implications on its impact on learning and research. Artificial Intelligence (AI) has been seen as a way of improving healthcare provision by delivering more robust outcomes but measuring these and implementing AI within this setting is at present limited and disjointed. Methods: ChatGPT was interrogated to see what it felt were the barriers to its implementation within healthcare and in particular orthopaedic practice. The evidence for this determination was then examined for validity and applicability for a practical roll out at a Trust, Regional or National level. Results: AI can synthesise a vast amount of information to help it answer specific questions. The context and structure of any question will determine the usefulness of the answer which can then be used to develop practical solutions based on experience and resource limitations. Conclusions: AI has a role in service development and can quickly focus a working group to areas to consider when practically implementing change.