Can ChatGPT Aid in Musculoskeletal Intervention?

Abstract

Abstract Radiology has continuously evolved exploring cutting-edge technologies to improve patient care. It is a prime example of how medical science is propelled forward by technological innovation. In recent times, artificial intelligence (AI) has played a crucial role in various technological advancements. Chat Generative Pre-trained Transformer (ChatGPT)-4, an AI language model primarily focusing on natural language understanding and generation, is increasingly used to retrieve medical information. This study explores the utility of ChatGPT-4o in aiding imaging-guided musculoskeletal interventions, detailing its advantages and limitations. Two musculoskeletal radiologists assessed the information generated by ChatGPT on common musculoskeletal interventions. They analyzed the overall utility of ChatGPT-4o in guiding musculoskeletal interventions by examining the procedure steps and pre- and post-procedure details provided. The assessment was documented in a 5-point Likert scale and subjected to statistical analysis. The statistical analysis of Likert scale scores by both readers revealed a moderate level of inter-rater agreement, as indicated by a Cohen's Kappa score of 0.54. Across the categories, the mode of Likert score ranged from 1 to 3, as rated by both readers, indicating suboptimal performance. The lowest scores were observed in image quality assessments, whereas the highest ratings were of post-procedure details. ChatGPT-4o offers structured procedural guidance but falls short in complex, image-dependent tasks due to limited anatomical detail and contextual accuracy. It may aid education, but not clinical use without expert oversight. Domain-specific training, validation, and multidisciplinary collaboration are essential for safe and effective integration into practice.

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