ArticleJournal of clinical orthopaedics and trauma2023
Perception of Chat Generative Pre-trained Transformer (Chat-GPT) AI tool amongst MSK clinicians.
Article in Journal of clinical orthopaedics and trauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Are large language models such as ChatGPT, capable of supporting patients and general practitioners after spine surgery?European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- "Can We Trust Them?" An Expert Evaluation of Large Language Models to Provide Sleep and Jet Lag Recommendations for Athletes.Sports medicine (Auckland, N.Z.) · 2026Article
- Translating AI to the Bedside with Physician Buy-In: Recommendations from a Meta-Analysis and Systematic Review of the Literature.Bioengineering (Basel, Switzerland) · 2025Review
- Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.BMC medical education · 2025Article
- Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.Frontiers in digital health · 2025Article
- ChatGPT Use Among Pediatric Health Care Providers: Cross-Sectional Survey Study.JMIR formative research · 2024Article
- Response to: ChatGPT's limited accuracy in generating anatomical images for medical.Skeletal radiology · 2024Article
- ChatGPT in the development of medical questionnaires. The example of the low back pain.European journal of translational myology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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:
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.