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融媒体时代背景下医学期刊提升办刊质量的AI化应用及思考

Application and reflection of artificial intelligence in enhancing the quality of medical journals in the converging media era

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传统医学期刊以纸媒形式出版,其存在出版周期长、人工送审运行过程慢、传播范围和形式受限等问题.医学期刊出版正面临传统媒体与新兴媒体相互融合阶段,数字化技术已经在医学期刊中从内容采编、内容生产、网刊发布、内容推送等各个环节得到初步应用.随着通用人工智能(AI)的发布,融媒体和Al大模型对医学期刊出版全过程产生了深远的影响.数字出版服务平台化、内容结构化、业务流程智能化和一体化正在成为新的趋势.Al大模型强大的算力为医学学术出版数字化转型带来了诸多机遇,如提高作者写作能力,协助审稿专家审理稿件,优化编辑加工、审校、出版流程等,同时AI大模型也带给医学期刊数字出版诸多挑战,如AI参与创作使编校难度增大、需要加强出版融合人才培养、存在潜在侵权问题和导向问题、产生著作权署名问题及医学伦理道德问题、增加数字生产技术要求等.面对这样的机遇与挑战,本文提出几点对医学学术出版数字化转型应对策略的思考,如增强对作者、读者的服务意识,与作者、审稿专家进行有效沟通;拥抱AI技术,积极应对Al.总之,在融媒体时代背景下,提升医学期刊办刊质量任重道远,要始终以内容为根本,以技术为支撑,以融合为契机,增强学术传播效力,提高期刊学术影响力.
Conventional medical journals are typically published in hard copy format,resulting in challenges such as lengthy publication cycles,sluggish manual review procedures,and restricted distribution in terms of range and formats.Currently,medical journal publishing is experiencing a phase of integration between traditional and emerging media,with digital technology being preliminarily applied to various aspects of medical journal publishing,such as content collection,production,online publication,and content distribution.With the emergence of general artificial intelligence(AI),converged media and AI large models have had a profound impact on the entire process of medical journal publishing.Digital publishing services are becoming more platform-based,content is becoming more structured,business processes are becoming more intelligent,and integration is becoming a new trend.The powerful computing capabilities of AI large models offer many opportunities for the digital transformation of medical academic publishing,such as improving authors'writing abilities,assisting review experts in reviewing manuscripts,optimizing editing,proofreading,and publishing processes.However,AI large models also bring many challenges to digital publishing of medical journals,such as increased difficulty in editing due to AI involvement in creation,the need to strengthen the training of talents for publishing integration,potential copyright infringement and guidance issues,issues related to authorship attribution and medical ethics,and increased requirements for digital production technology.To address these opportunities and challenges,this article proposes several strategies for the digital transformation of medical academic publishing,such as enhancing service awareness for authors and readers,effective communication with authors and review experts,embracing AI technology,and actively responding to AI.In conclusion,in the context of the converged media era,improving the quality of medical journal publication is a long and arduous task.It is essential to always focus on content,rely on technology,seize the opportunity for integration,enhance academic communication effectiveness,and increase the academic influence of journals.

Digital technologiesMultimedia integrationAcademic journalsEditing and publishingNew qualitative productivityArtificial intelligenceAlgorithmComputing powerBig data

刘颖、吴迪、陈婕

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110101 辽宁省沈阳市,辽宁医药职业学院《中国中西医结合儿科学》编辑部

沈阳医学院学报编辑部

中国医科大学期刊中心

数字化技术 融媒体 学术期刊 编辑与出版 新质生产力 人工智能 算法 算力 大数据

2023年辽宁省自然科学研究基金(面上项目)中国科学院自然科学期刊编辑研究会资助课题项目

2023-MS-146YJH202319

2024

现代养生
河北省医疗气功医院

现代养生

影响因子:1.355
ISSN:1671-0223
年,卷(期):2024.24(15)