实现包容性生物设计和创新:通过大型语言模型工具降低医疗器械开发的准入门槛。

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES
John T Moon, Nicholas J Lima, Eleanor Froula, Hanzhou Li, Janice Newsome, Hari Trivedi, Zachary Bercu, Judy Wawira Gichoya
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引用次数: 0

摘要

在下面的叙述性综述中,我们将讨论大型语言模型(LLMs)在医疗设备创新中的潜在作用,特别是使用生成式预训练变压器-4 的实例。在整个生物设计过程中,大型语言模型可以提供及时驱动的见解,帮助发现问题、吸收知识和做出决策。知识产权分析、监管评估和市场分析是 LLM 的主要应用领域。通过案例,我们强调了 LLM 在实现信息获取和专业知识民主化、促进医疗设备包容性创新方面的变革能力,以及它为各种经验水平的创新者提供实时、个性化反馈的有效性。通过降低准入门槛,LLM 加快了变革性进步,促进了既有和新兴利益相关者之间的合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards inclusive biodesign and innovation: lowering barriers to entry in medical device development through large language model tools.

In the following narrative review, we discuss the potential role of large language models (LLMs) in medical device innovation, specifically examples using generative pretrained transformer-4. Throughout the biodesign process, LLMs can offer prompt-driven insights, aiding problem identification, knowledge assimilation and decision-making. Intellectual property analysis, regulatory assessment and market analysis emerge as key LLM applications. Through case examples, we underscore LLMs' transformative ability to democratise information access and expertise, facilitating inclusive innovation in medical devices as well as its effectiveness with providing real-time, individualised feedback for innovators of all experience levels. By mitigating entry barriers, LLMs accelerate transformative advancements, fostering collaboration among established and emerging stakeholders.

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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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