Oeding Jacob F
Arthroscopy. 2025 Jun;41(6):2009-2011. doi: 10.1016/j.arthro.2024.10.020. Epub 2024 Oct 24.
While artificial intelligence (AI) technologies such as ChatGPT have shown very real and powerful capabilities to date, this does not mean that research studying these technologies is immune from "shiny object syndrome," a psychological phenomenon in which individuals tend to focus on new and fashionable ideas only to be distracted from those that truly matter. In parallel with the increased publicity that AI has received since the release of large language models (LLMs) like ChatGPT, there has been an explosion in the number of studies evaluating LLMs' ability to answer hypothetical questions from patients on a variety of conditions. Nevertheless, these studies tend to leave us with the same conclusion: LLMs are generally capable of providing reliable and relevant responses to patient questions but are not without limitations. Given the abundance of studies demonstrating similar outcomes regardless of whether the LLMs are asked to respond to a patient's questions about their diabetes or about their shoulder dislocation, I'm afraid we are at risk of making AI more of a "shiny object" than a tool that can be used to change clinical practice and improve patient care. Specifically, we may be approaching a point at which a "publish or perish" mindset has promoted studies with repetitive methodologies that only confirm well-established theories around the capabilities and limitations of AI and has created a distraction from new use cases and more meaningful applications for patient care. We are now at a crossroads at which we can either remain stuck in the past, repeating old studies' methodologies on a different procedure or injury, or progress by expanding the number and impact of applications that these tools have in orthopaedic surgery. The capabilities of AI will continue to increase at a rapid pace, but it will be up to those with intricate knowledge of orthopaedics and patient care to keep up.
虽然诸如ChatGPT之类的人工智能(AI)技术迄今为止已展现出非常真实且强大的能力,但这并不意味着对这些技术的研究就能免受“闪亮物体综合征”的影响。“闪亮物体综合征”是一种心理现象,即个体倾向于只关注新的和时髦的想法,从而忽略那些真正重要的想法。自ChatGPT等大型语言模型(LLM)发布以来,随着AI受到的关注度不断提高,评估LLM回答患者关于各种病症假设问题能力的研究数量呈爆炸式增长。然而,这些研究往往给我们留下相同的结论:LLM通常能够对患者的问题提供可靠且相关的回答,但并非没有局限性。鉴于大量研究表明,无论要求LLM回答患者关于糖尿病或肩关节脱位的问题,结果都相似,恐怕我们正面临一种风险,即让AI更多地成为一个“闪亮物体”,而非可用于改变临床实践和改善患者护理的工具。具体而言,我们可能正接近这样一个点,即“不发表就灭亡”的心态推动了采用重复方法的研究,这些研究只是证实了关于AI能力和局限性的既定理论,并且分散了对新用例以及对患者护理更有意义应用的注意力。我们现在正处于一个十字路口,要么停留在过去,在不同的程序或损伤上重复旧研究的方法,要么通过扩大这些工具在骨科手术中的应用数量和影响来取得进展。AI的能力将继续快速提升,但跟上步伐将取决于那些对骨科和患者护理有深入了解的人。