解决房间里的犀牛问题:ChatGPT 为鼻整形术创造了 "新颖 "的专利创意。

Eplasty Pub Date : 2024-03-12 eCollection Date: 2024-01-01
Daniel Najafali, Logan G Galbraith, Justin M Camacho, Sydney H Arnold, Michael Alperovich, Timothy W King, Mark S Cohen, Shane D Morrison, Amir H Dorafshar
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引用次数: 0

摘要

背景:OpenAI 的 ChatGPT 可以为许多应用生成新颖的想法。本研究的目的是促使聊天机器人产生与鼻整形术有关的美容外科创新:方法:促使 ChatGPT 开发鼻整形专利。方法:提示 ChatGPT 开发鼻整形术专利,并根据技术领域和解剖位置对生成的输出结果进行制表和分类。通过谷歌专利搜索,查找 2021 年至 2023 年间 "鼻整形术 "一词的使用情况。与鼻整形术无关的专利被排除在外。将提交的专利与 ChatGPT 生成的专利进行比较,以确定预测能力:结果:通过 ChatGPT 生成的专利共有 40 项,2021 年至 2023 年的谷歌专利共有 42 项。没有详细描述命令的专利涉及术前规划(35%)、术中工具(30%)、功能评估(15%)以及 3D 打印和植入物(10%)。有详细描述命令的专利大部分是术后工具(40%),其次是术中工具(30%)、3D 打印和植入物(10%)以及非手术(10%)类别。解剖位置包括气道、鼻背、鼻中隔和鼻尖。详细提示的 ChatGPT 预测能力为 45%,高于无详细提示命令的提示:结论:在经验丰富的外科医生和创新者的协助下,ChatGPT 有合理的潜力为整形外科的创新提供思路。随着人工智能的更新换代,聊天机器人将不断改进。确定这些技术是否能在创意生成之外的专利流程的后期部分提供帮助将至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addressing the Rhino in the Room: ChatGPT Creates "Novel" Patent Ideas for Rhinoplasty.

Background: OpenAI's ChatGPT can generate novel ideas for a number of applications. The aim of this study was to prompt the chatbot to generate possible innovations in aesthetic surgery relating to rhinoplasty.

Methods: ChatGPT was prompted to develop rhinoplasty patents. The resulting outputs were tabulated and categorized based on technology domain and anatomic location. A Google Patents search was conducted to find uses of the term "rhinoplasty" between 2021 and 2023. Patents not pertaining to rhinoplasty were excluded. Filed patents were compared with those generated by ChatGPT to determine predictive power.

Results: A total of 40 patents resulted from ChatGPT and 42 Google Patents from 2021 to 2023 were included. Patents generated without a detailed description command were related to preoperative planning (35%), intraoperative tools (30%), functional evaluation (15%), and 3D printing and implants (10%). Patents with a detailed description command resulted in the majority being postoperative tools (40%), followed by intraoperative tools (30%), 3D printing and implants (10%), and nonsurgical (10%) categories. The anatomic locations included the airway, dorsum, septum, and nasal tip. ChatGPT's predictive power yielded 45% for the detailed prompting, which was higher than the prompt without the detail command.

Conclusions: ChatGPT has reasonable potential to generate ideas for innovations in plastic surgery with the assistance of an experienced surgeon-innovator. With new artificial intelligence generations and updates, chatbots will continue to improve. Determining whether these technologies can assist in the later portions of the patent process beyond idea generation will be crucial.

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