过去 24 年来，人工智能 (AI) 应用于肌肉骨骼 (MSK) 疾病方面取得了重大进展。然而，缺乏对发展轨迹、基本研究方向、当前研究情景、关键焦点和未来前景的分析和描述性调查。这项研究旨在提供过去 24 年来人工智能在 MSK 疾病方面的进展的全面更新。对 Web of Science 数据库中涵盖 2000 年 1 月 1 日至 2024 年 3 月 1 日的数据进行了分析。使用先进的分析工具，我们进行了全面的科学计量和视觉分析。研究结果凸显了美国的主导影响力，占出版物总数的 28.53%，并在塑造该领域的研究中发挥着关键作用。加州大学旧金山分校、哈佛医学院和首尔国立大学等机构的生产力显着提高。 Valentina Pedoia 被认为是最多产的贡献者。 《科学报告》在该领域的出版物数量最多。最重要的五种疾病是关节疾病、骨折、骨肿瘤、软骨疾病和脊柱炎。这种全面的科学计量评估对经验丰富的研究人员和新手都有好处，可以快速获取基本信息并促进该领域创新概念的发展。© 2024 曹等人。

Over the past 24 years, significant advancements have been made in applying artificial intelligence (AI) to musculoskeletal (MSK) diseases. However, there is a lack of analytical and descriptive investigations on the trajectory, essential research directions, current research scenario, pivotal focuses, and future perspectives. This research aims to provide a thorough update on the progress in AI for MSK diseases over the last 24 years.Data from the Web of Science database, covering January 1, 2000, to March 1, 2024, was analyzed. Using advanced analytical tools, we conducted comprehensive scientometric and visual analyses.The findings highlight the predominant influence of the USA, which accounts for 28.53% of the total publications and plays a key role in shaping research in this field. Notable productivity was seen at institutions such as the University of California, San Francisco, Harvard Medical School, and Seoul National University. Valentina Pedoia is identified as the most prolific contributor. Scientific Reports had the highest number of publications in this area. The five most significant diseases are joint diseases, bone fractures, bone tumors, cartilage diseases, and spondylitis.This comprehensive scientometric assessment benefits both experienced researchers and newcomers, providing quick access to essential information and fostering the development of innovative concepts in this field.© 2024 Cao et al.