AI language models are transforming the medical writing space – like it or not!

Author:

Martin Katja

Abstract

Whether you’re an early adopter, an occasional user, or yet to acknowledge its transformative potential, artificial intelligence (AI) – specifically generative AI applications underpinned by large language models – is undeniably shaping our present and destined to influence the future of medical writing. Achieving a comprehensive understanding of these models can pave the way for their optimal application in areas where they excel. Additionally, this understanding helps to maintain a realistic, balanced perspective, allowing us to avoid the pitfalls associated with excessive or unfounded fear stirred by the current AI hype and related exaggerated promises. A selection of AI applications offers insights into specific tasks for which generative AI can be effectively utilised. These applications can truly make a difference by saving time, streamlining workflows, and potentially enhancing the quality of the resulting outputs.

Publisher

European Medical Writers Association

Subject

Medical Terminology,Health Informatics,Education,Medicine (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3