Perception of Chat Generative Pre-trained Transformer (Chat-GPT) AI tool amongst MSK clinicians

Karthikeyan P Iyengar; Mina Malak Abed Yousef; Arvind Nune; Gaurav Kant Sharma; Rajesh Botchu

doi:10.1016/j.jcot.2023.102253

Perception of Chat Generative Pre-trained Transformer (Chat-GPT) AI tool amongst MSK clinicians

J Clin Orthop Trauma. 2023 Sep 23:44:102253. doi: 10.1016/j.jcot.2023.102253. eCollection 2023 Sep.

Authors

Karthikeyan P Iyengar¹, Mina Malak Abed Yousef¹, Arvind Nune², Gaurav Kant Sharma³, Rajesh Botchu⁴

Affiliations

¹ Department of Orthopaedics, Southport and Ormskirk Hospitals, Mersey and West Lancashire Teaching NHS Trust, Southport, UK.
² Department of Rheumatology, Southport and Ormskirk Hospitals, Mersey and West Lancahire Teaching NHS Trust, Southport, UK.
³ Jaipur Institute of Pain and Sports Injuries (JIPSI), Jaipur, India.
⁴ Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, UK.

PMID: 37822477
PMCID: PMC10562840 (available on 2024-09-23)
DOI: 10.1016/j.jcot.2023.102253

Abstract

Background: Chat Generative Pre-trained Transformer (ChatGPT); an open access artificial intelligence (AI) tool has been in the limelight with its ability to respond to prompts, analyse data information using algorithms to augment efficiency in day-to-day activities across a spectrum of human activities including MSK/Orthopaedic science.

Purpose of the study: The purpose of this cross-sectional survey has been to analyse the knowledge, understanding of the role of Chat Generative Pre-trained Transformer (ChatGPT) and its implications in clinical practice as well as research in medicine.

Material & methods: An online cross-sectional survey of 10 questions (multiple choice and free text) was circulated amongst orthopaedic surgeons, musculoskeletal radiologists and Rheumatologists in India and UK, to evaluate perception of Chat Generative Pre-trained Transformer (ChatGPT) AI Tool.

Results: We had 125 responses with majority being aware of ChatGPT though a minority had used it. There was consensus that its going have detrimental effect on workforce with majority of the opinion that they would be used to create radiology reports. Mixed responses were noted regarding the quality of research and role of ChatGPT being an anonymous author.

Conclusion: There is a considerable debate amongst clinicians of orthopaedic, radiology and rheumatology -specialities. The attitudes are mixed but mainly positive, although there are many concerns about the still-evolving new technology.

Level of study: Diagnostic Study level 4.

Keywords: Algorithms; Artificial intelligence; Orthopaedics; Radiology; Surveys and questionnaires.