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dc.contributor.authorAshwood, Neil
dc.contributor.authorDekker, Andrew
dc.date.accessioned2024-01-18T15:38:34Z
dc.date.available2024-01-18T15:38:34Z
dc.identifier.citationCapes, N., Patel, H., Sarhan, I., Sidhu, G.-A.S., Ashwood, N. and Dekker, A. (2024) Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis? Intelligent Information Management, 16, 10-20. https://doi.org/10.4236/iim.2024.161002en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12904/18117
dc.description.abstractChatGPT 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 ortho paedic practice. The evidence for this determination was then examined for validity and applicability for a practical roll out at a Trust, Regional or Na tional level. Results: AI can synthesise a vast amount of information to help it answer specific questions. The context and structure of any question will de termine the usefulness of the answer which can then be used to develop prac tical 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
dc.language.isoenen_US
dc.subjectOrthopaedicsen_US
dc.titleArtificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?en_US
dc.typeArticleen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionNAen_US
rioxxterms.versionofrecordhttps://doi.org/10.4236/iim.2024.161002en_US
rioxxterms.typeJournal Article/Reviewen_US
refterms.dateFOA2024-01-18T15:38:36Z
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2024-01
html.description.abstractChatGPT 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 ortho paedic practice. The evidence for this determination was then examined for validity and applicability for a practical roll out at a Trust, Regional or Na tional level. Results: AI can synthesise a vast amount of information to help it answer specific questions. The context and structure of any question will de termine the usefulness of the answer which can then be used to develop prac tical 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 changeen_US
rioxxterms.funder.project94a427429a5bcfef7dd04c33360d80cden_US


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