ArticleActa orthopaedica et traumatologica turcica2025
Assessing the role of large language models in adolescent idiopathic scoliosis care: a comparison between ChatGPT and Google Gemini.
Article in Acta orthopaedica et traumatologica turcica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Large language models' performance in answering common patient questions about colonoscopy: an expert-based evaluation.BMC gastroenterology · 2026Observational
- Evaluating the role of ChatGPT in patient questions regarding drug allergies.The World Allergy Organization journal · 2026Article
- The Reliability of Human Evaluation of Large Language Models in Health Care Settings: Scoping Review.Journal of medical Internet research · 2026Article
- An expert-led benchmark using common patient questions: evaluating large language models for adolescent idiopathic scoliosis education.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
- Evaluating the performance of ChatGPT in responding to myotonic dystrophy type 1 patient inquiries: a specialist physician-based study.BMC neurology · 2026Article
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- Assessing The Ability of ChatGPT 5.2 to Answer Patient Questions Regarding Hip Avascular Necrosis.Acta orthopaedica et traumatologica turcica · 2026Article
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7 authors.
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Abstract
Objective: To evaluate the accuracy, applicability, comprehensiveness, and communication quality of responses generated by ChatGPT and Google Gemini in adolescent idiopathic scoliosis (AIS)-related scenarios, with the aim of assessing their potential utility as tools in patient management. Methods: Six case-based questions reflecting common patient concerns related to adolescent idiopathic scoliosis were developed by orthopedic specialists. Responses generated by ChatGPT and Google Gemini were independently evaluated by 61 orthopedic surgeons using a standardized rubric assessing accuracy, applicability, comprehensiveness, and communication clarity, each rated on a 1-5 Likert scale. Comparative analyses between platforms were performed using the Mann-Whitney U and Wilcoxon signed-rank tests. Additionally, open-ended feedback was collected to explore participants' perspectives on the potential and limitations of AI-based consultations. Results: ChatGPT outperformed Google Gemini in terms of accuracy (P = .013) in postoperative care scenarios. The results for applicability (P = .119), comprehensiveness (P = .619), and communication (P = .240) were not statistically significant. Orthopedic specialists rated both AI models significantly higher than residents in accuracy, applicability, and comprehensiveness. Most evaluators acknowledged the potential of AI to reduce physician workload and support patient guidance; however, concerns were raised regarding reliability, ethical implications, and the current limitations of AI in ensuring patient safety. Conclusion: ChatGPT and Google Gemini demonstrated moderate accuracy and communication quality in adolescent idiopathic scoliosis-related scenarios, with ChatGPT showing a modest advantage. Although both models show promising results as supportive tools for patient education and preliminary consultations, their current limitations in accuracy and comprehensiveness restrict their clinical reliability. Multidisciplinary collaboration is crucial to ensure e!ective applications of AI in orthopedic practice. Level of Evidence: Level III, Diagnostic Study.
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