健康信息学与人工智能

Health Informatics and AI

学科领域

人工智能与信息技术

审稿周期

7个工作日

出版周期

半年刊 5/11

ISSN

准备中

创刊年份

出版社

美国赛必德出版社

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出版费用

400USD

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期刊简介

Aims Health Informatics and AI (HIAI) is a peer-reviewed, interdisciplinary journal committed to advancing the integration of informatics principles, data science methodologies, and artificial intelligence (AI) technologies in healthcare and public health contexts. As digital transformation reshapes clinical workflows, patient care delivery, population health management, and medical research—addressing critical needs such as data-driven decision-making, personalized medicine, efficient healthcare operations, and equitable access to health services—this journal serves as a platform for cutting-edge research on the intersection of health informatics innovations, AI advancements, and real-world health challenges. It focuses on bridging technical expertise with clinical/population health priorities, promoting evidence-based development and deployment of health informatics and AI tools, and fostering collaboration among researchers, clinicians, technologists, and policymakers to create scalable, ethical, and patient-centered solutions that improve health outcomes globally.

征稿范围

Scopes The journal covers interdisciplinary research at the intersection of healthcare, informatics, and AI, including but not limited to the following core areas: AI for Healthcare Data Processing and Analysis:Technologies for standardization and structuring of healthcare data, AI-driven healthcare data mining, Privacy protection and security technologies for healthcare big data Applications of AI in Clinical Diagnosis, Treatment, and Decision Support:Auxiliary diagnostic systems, Clinical decision support tools, Optimization of clinical workflows Integrative Innovation of Healthcare Informatics and AI: AI integration in health information systems, AI applications in mobile health (mHealth) and wearable devices, Construction and application of medical knowledge graphs AI Empowerment for Healthcare Systems and Public Health: Optimization of healthcare resource allocation, Public health monitoring and emergency response, Healthcare quality assessment and improvement Methodologies and Case Studies in Interdisciplinary Fields: Development of new AI algorithms/models for healthcare, Innovation in interdisciplinary research methods, Real-world case studies

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论文应包含摘要、关键词、引言、研究方法、研究结果、讨论和参考文献等部分。英文论文要求语言流畅，符合学术写作规范。

发表流程

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初步审核
专家评审 (3天)
修改与校对
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