Technical papers on the aspects related to (but not limited to) those in the topics of interest are invited for oral presentation. Length of the full paper is limited within 8 pages (max). The program committee encourages the submission of invited sessions with at least five manuscripts on a well-defined subject of current interest. If you are interested in this, please email us the title of the session, the name and full contact details of the session organizer, and a list of the proposed session contributions, including titles, authors, and the corresponding author of each paper. All papers in invited sessions will be subject to review and assessment by the Program committee.

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Topic

(IV1) Big Data and Artificial Intelligence Enabled Healthcare Systems

Session Description

Driven by rapid technological advancements, medical devices are undergoing an unprecedented transformation. The integration of artificial intelligence (AI), the Internet of Things (IoT), and big data is enabling a new generation of smart medical devices that offer more precise, efficient, and personalized solutions for diagnosis, treatment, and prevention. This forum will focus on the innovative design and clinical applications of smart medical devices, covering topics including, but not limited to, their design and development, clinical implementation, telemedicine, and home healthcare. By bringing together the latest research findings, clinical insights, and industry trends, this forum aims to provide an interdisciplinary platform for knowledge exchange, foster meaningful dialogue and collaboration, and explore emerging opportunities for future development.

Session Chairman

Prof. Yi-Chun Du; Principal Investigator, Lun-De Liao

Institution

National Cheng Kung University, Taiwan; Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan

Status