ジャーナル情報

Multimedia Tools and Applications (MTA)

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出版社:
Springer
ISSN:
1380-7501
閲覧:
42799
フォロー:
57

論文募集

Multimedia Tools and Applications (MTA) is an academic journal published by Springer. (ISSN 1380-7501, CCF C).

Aims and scope Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools, and case studies of multimedia applications. Experimental and survey articles are appropriate for the journal. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include (but are not limited to): Multimedia Tools: - Multimedia application enabling software - System software support for multimedia - Hypermedia - Performance measurement tools for multimedia - Multimedia authoring tools - System hardware support for multimedia - Multimedia databases and retrieval - Web tools and applications Multimedia Applications: + Prototype multimedia systems and platforms - Multimedia on information superhighways + Home - Video on-demand - Interactive TV - Home shopping - Remote home care - Electronic album - Personalized electronic journals + Education and Training - Computer aided instruction - Distance and interactive training - Multimedia encyclopedias - Interactive training on the web + Operations - Command and control - Process control - CAD/CAM - Air traffic control - On-line monitoring - Multimedia security systems + Public - Digital libraries - Electronic museum - Networked kiosk systems (medical, legal, banking, shopping, tourist) + Business Office - Executive information systems - Remote consulting systems - Video conferencing - Multimedia mail - Multimedia documents - Advertising - Collaborative work - Electronic publishing + Visual Information Systems
最終更新：Dou Sun（）

Special Issues

Special Issue on Empowering Patients Through AI, Multimedia, and Explainable HCI: Innovations in Personalized Healthcare 投稿締切日: 2026-07-31 The empowerment of patients is emerging as a central focus in the digital transformation of healthcare. The integration of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Explainable AI (XAI) presents an unprecedented opportunity to develop transparent, intuitive, and patient-centered technologies. However, while AI advancements—such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)—offer transformative tools for diagnostics, treatment, and personalized care, their complexity often limits patients’ trust, understanding, and engagement. Patient empowerment relies on solutions that demystify complex AI-driven insights, fostering trust and enabling individuals to actively participate in their healthcare journey. Explainable AI (XAI) addresses this need by making AI outputs interpretable and transparent, ensuring patients can comprehend and trust the information being presented. Combined with HCI principles, XAI-enabled multimedia tools—such as medical videos, images, interactive dashboards, wearable devices, and virtual health assistants—make health data more engaging, accessible, and actionable. This special issue explores how the convergence of AI, HCI, and multimedia technologies can empower patients through tools that improve health literacy, facilitate informed decision-making, and foster collaboration with clinicians. By prioritizing patient trust, transparency, and accessibility, these innovations aim to transform healthcare into a truly inclusive and empowering experience. Topics of interest include, but are not limited to: Explainable HCI for Multimedia-Enhanced Patient Tools Explainable Diagnostics and Patient-Centered Interfaces HCI and XAI in Mental Health Management Trustworthy and Ethical XAI for Healthcare Multimedia Patient Education and Engagement Through XAI Technical and Multimedia Innovations for Healthcare Ethical and Regulatory Considerations Enhancing Physician Support Through Integrated AI and Multimedia Solutions Important Dates Submission Open: October 20, 2025 Submission Deadline: July 31, 2026
最終更新：Dou Sun（）

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