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AIdSH 2020 : International Workshop on AI-driven Smart Healthcare

Taipei, Taiwan
Event Date: Dec 07, 2020 - Dec 11, 2020
Submission Deadline: Jul 15, 2020
Notification of Acceptance: Sep 01, 2020
Camera Ready Version Due : Oct 01, 2020

About

The workshop on AI-driven Smart Healthcare (AIdSH) aims at bringing together researchers from academia, industry, government, and medical centers in order to present the state of the art and discuss the latest advances in the emerging area of the use of Internet of Things (IoT), Artificial Intelligence, and Soft Computing techniques, be they black boxes or explanation-based, to signals, images, and data in the fields of medicine, healthcare, and wellbeing.

Call For Paper

The topics of interest include, but are not limited to, the application of Internet of Things (IoT), Artificial Intelligence and Soft Computing methodologies to the areas listed below. In light of the current pandemic, severely affecting the whole world, papers focusing on applications to any issue related to COVID-19 are highly welcome.

  • Knowledge Management of Health Data;
  • Data Mining and Knowledge Discovery in Healthcare;
  • Machine and Deep learning approaches for Health Data;
  • Explainable AI models for health, biology and medicine;
  • Decision Support Systems for Healthcare and Wellbeing;
  • AI for Precision Medicine;
  • Optimization for Healthcare problems;
  • Regression and Forecasting for medical and/or biomedical signals;
  • Healthcare Information Systems;
  • Wellness Information Systems;
  • Medical Signal and Image Processing and Techniques;
  • Medical Expert Systems;
  • Diagnosis and Therapy Support Systems;
  • Biomedical Applications;
  • Applications of AI in Healthcare and Wellbeing Systems;
  • Machine Learning-based Medical Systems;
  • Medical Data and Knowledge Bases;
  • Neural Networks in Medicine;
  • Ambient Intelligence and Pervasive Computing in Medicine and Healthcare;
  • AI in genomics;
  • AI for Healthcare Social Networks;
  • New framework, algorithms, and protocol designs for AI-based healthcare Cyber Physical Systems (CPSs);
  • Case-studies, applications, and prototypes for healthcare cyber security;
  • Simulation, testing and formal verification of AI-based security solutions for healthcare;
  • Machine learning driven IDS/IPS solutions for healthcare CPSs;
  • Networking and Computing Architecture AI-based healthcare CPSs;
  • Big data analytic frameworks for AI-powered healthcare CPSs;
  • Game theory based secure and trustable solutions for healthcare systems;
  • Cloud/grid/edge computing for healthcare CPSs;
  • Data-driven optimization of AI-based healthcare networks;
  • Proactive network monitoring architecture for healthcare CPSs;
  • Energy-efficient network operations for healthcare CPSs via AI/ML;
  • Self-Learning and adaptive networking protocols for real-world CPSs;
  • Exploiting 5G and Beyond for AI-aided healthcare solutions;
  • Deep and reinforcement learning based security solutions for attack prediction in CPSs;
  • AI based security solutions for IMDs, smart sensors, wearables, etc;
  • Human-machine interaction for healthcare cyber security;
  • Other standards, policies and regulations for integrating IoT paradigms in CPSs.

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