AI会成为我们的Co-PI吗？

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-07-14 DOI:10.1038/s41746-025-01859-w

Dillan Prasad, Aditya Khandeshi, Spencer Sartin, Rishi Jain, Nader Dahdaleh, Maciej Lesniak, Yuan Luo, Christopher Ahuja

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引用次数: 0

摘要

大型语言模型（llm）的快速发展正在改变学生和主要研究者（pi）在生物医学研究中的角色。这一视角考察了法学硕士如何重塑实验室模型，使其成为从文献分类到假设生成等任务的事实上的“合作伙伴”。通过澄清机遇和风险，我们提出了一个有效的人工智能协作框架，旨在指导研究人员和学员负责任地利用法学硕士。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Will AI become our Co-PI?

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Will AI become our Co-PI?

Rapid advances in large language models (LLMs) are transforming the role of students and principal investigators (PIs) in biomedical research. This perspective examines how LLMs can reshape the laboratory model as de facto “Co-PIs” for tasks ranging from literature triage to hypothesis generation. By clarifying both opportunities and risks, we propose a framework for efficient AI collaboration which aims to guide investigators and trainees in harnessing LLMs responsibly.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.