Knoedler Leonard, Vogt Alexander, Alfertshofer Michael, Camacho Justin M, Najafali Daniel, Kehrer Andreas, Prantl Lukas, Iske Jasper, Dean Jillian, Hoefer Simon, Knoedler Christoph, Knoedler Samuel
Department of Plastic, Hand, and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
Corporate/M&A Department, Dentons Europe (Germany) GmbH & Co. KG, Munich, Germany.
Front Surg. 2024 Jul 26;11:1390684. doi: 10.3389/fsurg.2024.1390684. eCollection 2024.
Large Language Models (LLMs) like ChatGPT 4 (OpenAI), Claude 2 (Anthropic), and Llama 2 (Meta AI) have emerged as novel technologies to integrate artificial intelligence (AI) into everyday work. LLMs in particular, and AI in general, carry infinite potential to streamline clinical workflows, outsource resource-intensive tasks, and disburden the healthcare system. While a plethora of trials is elucidating the untapped capabilities of this technology, the sheer pace of scientific progress also takes its toll. Legal guidelines hold a key role in regulating upcoming technologies, safeguarding patients, and determining individual and institutional liabilities. To date, there is a paucity of research work delineating the legal regulations of Language Models and AI for clinical scenarios in plastic and reconstructive surgery. This knowledge gap poses the risk of lawsuits and penalties against plastic surgeons. Thus, we aim to provide the first overview of legal guidelines and pitfalls of LLMs and AI for plastic surgeons. Our analysis encompasses models like ChatGPT, Claude 2, and Llama 2, among others, regardless of their closed or open-source nature. Ultimately, this line of research may help clarify the legal responsibilities of plastic surgeons and seamlessly integrate such cutting-edge technologies into the field of PRS.
像ChatGPT 4(OpenAI)、Claude 2(Anthropic)和Llama 2(Meta AI)这样的大语言模型(LLMs)已成为将人工智能(AI)融入日常工作的新技术。特别是大语言模型,以及一般意义上的人工智能,具有无限潜力来简化临床工作流程、外包资源密集型任务并减轻医疗系统负担。虽然大量试验正在阐明这项技术尚未开发的能力,但科学进步的迅猛速度也带来了影响。法律准则在规范新兴技术、保护患者以及确定个人和机构责任方面发挥着关键作用。迄今为止,缺乏研究工作来界定用于整形和重建外科临床场景的语言模型和人工智能的法律法规。这种知识差距给整形外科医生带来了面临诉讼和处罚的风险。因此,我们旨在为整形外科医生提供关于大语言模型和人工智能的法律准则及陷阱的首次概述。我们的分析涵盖了ChatGPT、Claude 2和Llama 2等模型,无论其是封闭源还是开源性质。最终,这一系列研究可能有助于阐明整形外科医生的法律责任,并将此类前沿技术无缝融入整形与重建外科领域。