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通过ChatGPT推动临床医疗设备的生产

Advancing the Production of Clinical Medical Devices Through ChatGPT.

作者信息

Li Siqi, Guo Zheng, Zang Xuehui

机构信息

Advanced Research Center, GD Midea Equipment Co., Ltd, Foshan, 528000, China.

Orthopedics Department of The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, 528042, China.

出版信息

Ann Biomed Eng. 2024 Mar;52(3):441-445. doi: 10.1007/s10439-023-03300-3. Epub 2023 Jun 27.

DOI:10.1007/s10439-023-03300-3
PMID:37369944
Abstract

As a recently popular large language model, Chatbot Generative Pre-trained Transformer (ChatGPT) is highly valued in the field of clinical medicine. Due to the limited understanding of the potential impact of ChatGPT on the manufacturing side of clinical medical devices, we aim to fill this gap through this article. We elucidate the classification of medical devices and explore the positive contributions of ChatGPT in various aspects of medical device design, optimization, and improvement. However, limitations such as the potential for misinterpretation of user intent, lack of personal experience, and the need for human supervision should be taken into consideration. Striking a balance between ChatGPT and human expertise can ensure the safety, quality, and compliance of medical devices. This work contributes to the advancement of ChatGPT in the medical device manufacturing industry and highlights the synergistic relationship between artificial intelligence and human involvement in healthcare.

摘要

作为最近流行的大型语言模型,聊天机器人生成式预训练变换器(ChatGPT)在临床医学领域备受重视。由于对ChatGPT对临床医疗设备制造方面的潜在影响了解有限,我们旨在通过本文填补这一空白。我们阐明了医疗设备的分类,并探讨了ChatGPT在医疗设备设计、优化和改进的各个方面的积极贡献。然而,应考虑到诸如用户意图可能被误解、缺乏个人经验以及需要人工监督等局限性。在ChatGPT和人类专业知识之间取得平衡可以确保医疗设备的安全性、质量和合规性。这项工作有助于ChatGPT在医疗设备制造行业的发展,并突出了人工智能与人类参与医疗保健之间的协同关系。

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Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images.基于 tfMRI 图像的无监督联合域自适应解码大脑认知状态
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Revolutionary Potential of ChatGPT in Constructing Intelligent Clinical Decision Support Systems.ChatGPT 在构建智能临床决策支持系统方面的革命性潜力。
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