INTERNATIONAL SPECIAL SESSION

AI in Medical Applications

We are organizing a special session on "AI in Medical Applications" for TAAI2023, held in National Yunlin University of Science and Technology, Yunlin County, in Taiwan on December 1-2, 2023. AI plays a crucial role in Medical Applications, encompassing various domains, including medical healthcare information systems, medical image processing, medical signal processing, medical education, and medical applications. As AI continues to revolutionize the medical industry, this special session aims to highlight cutting-edge research and advancements in the integration of AI technologies within medical practices.

Session Information

Session Title :

AI in Medical Applications (AIMA)

Session Organizer :

Prof. Yu-Min Chiang / Prof. Wen-fong Wang / Prof. Yih-Lon Lin

Institution :

National Formosa University / National Yunlin University of Science and Technology

E-mail :

ymchiang@nfu.edu.tw / wwf@yuntech.edu.tw / yihlon@yuntech.edu.tw

Topics / Areas

AI in Medical Applications is at the forefront of technological breakthroughs, with potential implications that can positively impact global health. We invite submissions from researchers, engineers, and professionals working in the interdisciplinary field of medicine and healthcare, with a particular emphasis on artificial intelligence applications. The topics of interest for this special session include, but are not limited to:
  1. AI-enabled Medical Healthcare Information Systems
  2. AI-based Medical Image Processing
  3. AI-driven Medical Signal Processing
  4. AI Applications in Medical Education and Training
  5. AI for Drug Discovery and Personalized Treatment
  6. AI-powered Disease Risk Prediction and Prevention
  7. AI in Health Management and Remote Patient Monitoring

Important Information

Accepted papers will be submitted for inclusion into the Communications in Computer and Information Science (CCIS) by Springer. CCIS is indexed in DBLP, Google Scholar, EI-Compendex, and Scopus. Please note that papers must submit via the submission system website and meet the format of TAAI2023.

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