Department of Hand and Reconstructive Microsurgery, National University Hospital, Singapore.
J Hand Surg Asian Pac Vol. 2024 Apr;29(2):81-87. doi: 10.1142/S2424835524300019. Epub 2024 Mar 26.
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 V (Diagnostic).
人工智能(AI)取得了重大进展,正在重塑各个行业,包括医疗保健行业。2022 年 11 月,OpenAI 推出的 ChatGPT 标志着一个关键的时刻,展示了生成式 AI 在彻底改变患者护理、诊断和治疗方面的潜力。与传统的 AI 系统不同,生成式 AI 能够通过理解数据集中的模式来生成新的内容。本文探讨了 AI 在医疗保健领域的发展历程,可以追溯到 1955 年 John McCarthy 提出的术语,以及 John Von Neumann 和 Alan Turing 等先驱的贡献。目前,生成式 AI,特别是大型语言模型,在医疗保健领域的三个广泛领域都有应用前景:患者护理、教育和研究。在患者护理方面,它在临床文档管理、诊断支持和手术规划方面提供了解决方案。值得注意的进展包括微软与 Epic 的合作,即将 AI 集成到电子病历 (EMR) 中,以增强临床数据管理和患者护理。此外,生成式 AI 有助于手术决策,如在整形、骨科和肝胆手术中所示。然而,需要谨慎并不断评估偏见、幻觉和与 EMR 系统的集成等挑战。本文还介绍了在手部外科部门实施 NUHS Russell-GPT 生成式 AI 聊天机器人的经验,展示了其在行政任务中的实用性,但强调了在手术规划和 EMR 集成方面的挑战。调查显示,所有受访者都一致支持将 AI 纳入临床环境,他们都愿意使用 AI。总之,生成式 AI 有望增强患者护理并减轻医生的工作负担,从自动化行政任务开始,发展到为诊断提供信息、制定个性化的治疗计划,以及帮助手术规划。随着医疗保健系统应对整合 AI 的复杂性,AI 为医生和患者带来的潜在好处仍然非常重要,让我们一窥未来 AI 将如何改变医疗保健服务的提供方式。 级别 V(诊断)。