AISHI: 1st International Workshop on Artificial Intelligence in Smart Healthcare Informatics

Artificial Intelligence (AI) is devoted to creating computer software and hardware that imitates the human mind. The main goal of AI technology is to make computers smarter by creating software that will allow a computer to mimic some of the functions of the human brain in selected applications. Healthcare applications of AI technology include; general problem solving, knowledge engineering(KE), diagnostic expert systems, natural language processing, computer vision, robotics surgey, smart medical training and educational systems. All of these applications employ knowledge base and inferencing techniques to solve problems or help make decisions in specific domains.

This workshop discusses the recent trends of AI and KE paradigms for developing intelligent healthcare and smart medicalsystems.The workshop will provide a forum for the exchange of ideas between physicians and computer scientists, and knowledge engineers to address the essential issues in those areas. Papers related to methodologies, techniques, and applications in biomedical informatics and smart-Healthcare systems are especially solicited.

Topics

RTopics of interest include (but are not limited to) the following:

  • Health Care Information Systems
  • Computational Intelligence in life sciences
  • Machine Learning in Big Biomedical Data Analytics
  • Knowledge Engineering in Health Sciences
  • Clinical Information Systems
  • Medical Image Processing and Techniques
  • Medical Intelligent Systems for different medical tasks
  • Medical Expert Systems
  • Bioinformatics and Biostatistics
  • Telemedicine Software, Portals, Devices and Telehealth
  • Web-based and Remote Medicine
  • Data Mining and Knowledge Discovery in Medicine
  • Machine Learning-based Medical Systems
  • Artificial Intelligence Techniques in Health Sciences
  • Medical Databanks, Databases, and Knowledge Bases
  • Neurocomputing in Medicine
  • Ontology and Medical Information Science
  • Bioethics and Health informatics
  • Meanigful Use of Electronic Medical Record Systems
  • Value-based Medical Systems
Goals

This workshop is dévotes to discussion of curent research of the AI techniques and knowledge engineering methodologies for developing Smart Healthcare Systems.The goal is to provide a forum for the exchange of ideas between physicians , AI communities and software knowledge engineers to address the important and recent issues in the AI-based techniques in the areas of smart healthcare informatics.

Workshop Chair
  • Prof. Dr. Abdel-Badeeh Salem
    Founder of the Artificial Intelligence and Knowledge Engineering Research Labs, Ain Sham University, Cairo, Egypt & Chairman of Working Group on Bio-Medical Informativs, ISfTeH, Belgium - absalem@cis.asu.edu.eg
Organizers
  • Francesco Sicurello
    University of Milan Bicocca, Italy
  • Xiao-Guang Yue Gabriel
    Institute of DataScience and Artificial Intelligence, Denver,USA
  • Dina Ziadlou
    Colorado Technical University, Denver, USA
  • Frank Lievens
    International Society for Telemedicine & eHealth, ISfTeH, Belgium
  • Roumen Kountchev
    Technical University of Sofia, Bulgaria
  • Elena Nechita
    VasileAlecsandri University, Romania
  • Yukako Yagi
    Harvard Medical School, Boston, MA, USA
  • Hariton Costin
    “Gr. T. Popa” Univ of Medicine and Pharmacy, Romania
  • Smaranda Belciug
    Faculty of Mathematics and Natural Sciences, University of Craiova, Romania
  • Michael Gr. Voskoglou
    Graduate Technological Educational Institute of Patras, Greece
  • Antonella Naaji
    "Vasile Goldis" Western University of Arad, Romania
  • Hassan Ghazal
    Moroccan Society for Telemedicine and eHealth, Morocco
  • Dragana Krstić
    Faculty of Electronic Engineering, University of Niš, Serbia
  • Dana Simian
    Faculty of Sciences , Lucian Blaga University Sibiu, Romania
  • Natalya Shakhovska
    Liviv Polytechnical National Univesity,Ukraine
  • Mohaned Al. Obaidy
    Computing Faculty, Gulf College, Oman
  • Sarma Cakula
    Vidzeme University of Applied Sciences, Latvia
  • Romanov V.O.
    V.M.Glushkov Institute of Cybernetics of the NAS of Ukraine
Publication

ACM will be the publisher of the proceedings of PETRA conference and workshops. The proceedings will be a volume in the ACM International Conference Proceedings Series in the ACM Digital Library.
Authors must follow the same formatting guidelines as employed for the main conference paper submissions. Refer to the guidelines here. You can submit your paper using the main conference submission system by selecting the option Workshop Paper from the dropdown menu. To submit a paper, please visit the submission system.

Deadlines & Other Workshops

The list of workshops and deadines are available at the main workshops page. All workshops have the same deadlines.