人工智能在手外科中的应用--生成式人工智能如何改变手外科的格局。

IF 0.5 Q4 SURGERY
Ruth En Si Tan, Wendy Zi Wei Teo, Mark E Puhaindran
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引用次数: 0

摘要

人工智能(AI)取得了长足的进步,重塑了包括医疗保健在内的各行各业。2022 年 11 月,OpenAI 推出的 ChatGPT 标志着一个关键时刻,它展示了生成式人工智能在革新患者护理、诊断和治疗方面的潜力。与传统的人工智能系统不同,生成式人工智能能够通过理解数据集的模式生成新的内容。本文探讨了人工智能在医疗保健领域的发展,追溯了约翰-麦卡锡(John McCarthy)于 1955 年创造的人工智能一词的起源,以及约翰-冯-诺依曼(John Von Neumann)和艾伦-图灵(Alan Turing)等先驱的贡献。目前,生成式人工智能,尤其是大型语言模型,在医疗保健的三大领域大有可为:患者护理、教育和研究。在患者护理方面,它为临床文件管理、诊断支持和手术规划提供了解决方案。值得注意的进展包括微软与 Epic 合作,将人工智能集成到电子病历(EMR)中,从而加强临床数据管理和患者护理。此外,生成式人工智能还有助于手术决策,这在整形外科、骨科和肝胆外科手术中得到了验证。然而,由于存在偏差、幻觉以及与 EMR 系统集成等挑战,因此有必要谨慎行事并进行持续评估。文章还介绍了NUHS Russell-GPT(一种生成式人工智能聊天机器人)在手外科的实施情况,展示了它在管理任务中的实用性,但也强调了在手术规划和EMR集成方面的挑战。调查显示,所有受访者一致支持将人工智能融入临床环境,并对人工智能的使用持开放态度。总之,生成式人工智能有望加强对患者的护理,减轻医生的工作量,首先是实现行政任务的自动化,然后发展到为诊断提供信息、量身定制治疗方案以及协助手术规划。在医疗保健系统应对整合人工智能的复杂性时,医生和患者都能从中获得巨大的潜在利益,让我们看到人工智能改变医疗保健服务的未来。证据等级:五级(诊断)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence in Hand Surgery - How Generative AI is Transforming the Hand Surgery Landscape.

Artificial intelligence (AI) has witnessed significant advancements, reshaping various industries, including healthcare. The introduction of ChatGPT by OpenAI in November 2022 marked a pivotal moment, showcasing the potential of generative AI in revolutionising patient care, diagnosis and treatment. Generative AI, unlike traditional AI systems, possesses the ability to generate new content by understanding patterns within datasets. This article explores the evolution of AI in healthcare, tracing its roots to the term coined by John McCarthy in 1955 and the contributions of pioneers like John Von Neumann and Alan Turing. Currently, generative AI, particularly Large Language Models, holds promise across three broad categories in healthcare: patient care, education and research. In patient care, it offers solutions in clinical document management, diagnostic support and operative planning. Notable advancements include Microsoft's collaboration with Epic for integrating AI into electronic medical records (EMRs), enhancing clinical data management and patient care. Furthermore, generative AI aids in surgical decision-making, as demonstrated in plastic, orthopaedic and hepatobiliary surgeries. However, challenges such as bias, hallucination and integration with EMR systems necessitate caution and ongoing evaluation. The article also presents insights from the implementation of NUHS Russell-GPT, a generative AI chatbot, in a hand surgery department, showcasing its utility in administrative tasks but highlighting challenges in surgical planning and EMR integration. The survey showed unanimous support for incorporating AI into clinical settings, with all respondents being open to its use. In conclusion, generative AI is poised to enhance patient care and ease physician workloads, starting with automating administrative tasks and evolving to inform diagnoses, tailored treatment plans, as well as aid in surgical planning. As healthcare systems navigate the complexities of integrating AI, the potential benefits for both physicians and patients remain significant, offering a glimpse into a future where AI transforms healthcare delivery. Level of Evidence: Level V (Diagnostic).

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