调查人工智能大型语言模型的生物医学研究需要超越对准确性的衡量,而将重点放在改善患者护理上。

IF 4.4 1区 医学 Q1 ORTHOPEDICS
George C Balazs
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引用次数: 0

摘要

骨科医生对人工智能(AI)非常着迷。自从 ChatGPT 于 2022 年 11 月 30 日向公众发布以来,有关在我们领域使用大型语言模型(LLM)的文章层出不穷。其中大部分都围绕着模型在骨科主题方面的准确性(剧透:准确性很好,但并不可靠,不过正在改善)。遗憾的是,围绕 LLM 的研究大多是重复性的,将 LLM 应用于相同的基本任务。LLM 人工智能系统在数据处理整理、组织和识别模式方面表现出了惊人的能力。现在,研究科学家需要创新。期刊必须鼓励作者研究人工智能系统如何改善患者护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.

Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of these revolve around the accuracy of the models regarding orthopaedic topics (spoiler alert: the accuracy is good, yet unreliable, but improving). Unfortunately, the research around LLM is largely repetitive, applying the LLMs to the same essential tasks. LLM AI systems show amazing capabilities in data processing, collating and organizing and recognizing patterns. Now, research scientists need to innovate. Journals must encourage authors to investigate how AI systems can improve patient care.

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来源期刊
CiteScore
9.30
自引率
17.00%
发文量
555
审稿时长
58 days
期刊介绍: Nowhere is minimally invasive surgery explained better than in Arthroscopy, the leading peer-reviewed journal in the field. Every issue enables you to put into perspective the usefulness of the various emerging arthroscopic techniques. The advantages and disadvantages of these methods -- along with their applications in various situations -- are discussed in relation to their efficiency, efficacy and cost benefit. As a special incentive, paid subscribers also receive access to the journal expanded website.
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