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ChatGPT can yield valuable responses in the context of orthopaedic trauma surgery

Kaarre, Janina (författare)
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Sahlgrenska Sports Medicine Center, Gothenburg, Sweden; Department of Orthopaedic Surgery, UPMC Freddie Fu Sports Medicine Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Feldt, Robert (författare)
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden
Zsidai, Bálint (författare)
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Sahlgrenska Sports Medicine Center, Gothenburg, Sweden
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Hamrin Senorski, Eric (författare)
Sahlgrenska Sports Medicine Center, Gothenburg, Sweden; Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
Möller Rydberg, Emilia (författare)
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden
Wolf, Olof (författare)
Department of Surgical Sciences, Orthopaedics, Uppsala University, Uppsala, Sweden
Mukka, Sebastian (författare)
Umeå universitet,Ortopedi
Möller, Michael (författare)
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden
Samuelsson, Kristian (författare)
Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Sahlgrenska Sports Medicine Center, Gothenburg, Sweden; Department of Orthopaedics, Sahlgrenska University Hospital, Mölndal, Sweden
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 (creator_code:org_t)
John Wiley & Sons, 2024
2024
Engelska.
Ingår i: Journal of Experimental Orthopaedics. - : John Wiley & Sons. - 2197-1153. ; 11:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Purpose: To assess the possibility of using Generative Pretrained Transformer (ChatGPT) specifically in the context of orthopaedic trauma surgery by questions posed to ChatGPT and to evaluate responses (correctness, completeness and adaptiveness) by orthopaedic trauma surgeons.Methods: ChatGPT (GPT-4 of 12 May 2023) was asked to address 34 common orthopaedic trauma surgery-related questions and generate responses suited to three target groups: patient, nonorthopaedic medical doctor and expert orthopaedic surgeon. Three orthopaedic trauma surgeons independently assessed ChatGPT's responses by using a three-point response scale with a response range between 0 and 2, where a higher number indicates better performance (correctness, completeness and adaptiveness).Results: A total of 18 (52.9%) of all responses were assessed to be correct (2.0) for the patient target group, while 22 (64.7%) and 24 (70.5%) of the responses were determined to be correct for nonorthopaedic medical doctors and expert orthopaedic surgeons, respectively. Moreover, a total of 18 (52.9%), 25 (73.5%) and 28 (82.4%) of the responses were assessed to be complete (2.0) for patients, nonorthopaedic medical doctors and expert orthopaedic surgeons, respectively. The average adaptiveness was 1.93, 1.95 and 1.97 for patients, nonorthopaedic medical doctors and expert orthopaedic surgeons, respectively.Conclusion: The study results indicate that ChatGPT can yield valuable and overall correct responses in the context of orthopaedic trauma surgery across different target groups, which encompassed patients, nonorthopaedic medical surgeons and expert orthopaedic surgeons. The average correctness scores, completeness levels and adaptiveness values indicated the ability of ChatGPT to generate overall correct and complete responses adapted to the target group.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Ortopedi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Orthopaedics (hsv//eng)

Nyckelord

AI
artificial intelligence
large language models
LLMs trauma orthopaedics

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