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Artificial Intelligence in Healthcare
Topic Information
The complexity and upward push of statistics in healthcare
imply that artificial intelligence (AI) and related technology will
increasingly be applied within the discipline. This topic seeks to no longer
only present answers that integrate latest gadgets, computer software program,
model-based tactics for exploiting the huge health and bio records, and the
Internet of Things assets available (whilst making sure that these systems are
explainable to area experts), however also new methods that more usually describe
the a success software of rising technologies and spectra, and technological
know-how and engineering to problems including ailment, cancer, databases,
sensor device and person interfaces, software layout, and gadget implementation
in healthcare, in addition to the medical area, biology, and well-being
domains. The main idea is to cover the programs of artificial intelligence (AI)
and related technology and engineering issues addressing all facets of
solutions in the real international from databases, disease, and human fitness
generation from a well being and healthy existence angle. This subject matter
welcomes the submission of technical, experimental, methodological, and records
analytical, developing and implementing contributions focused on actual-world
problems and structures, as well as on popular packages of AI, data mining, and
facts analytic methodologies in rising era answers and actual world programs
associated with life, disease, cancer, healthcare, and hospitals which can
assist human beings to guide heathy lives, including, but no longer restricted
to, the following topics:
• Data mining in healthcare
• Machine and deep learning methods for ailment, and health
records
• Decision guide systems for healthcare and health
• Regression and forecasting for medical and/or biomedical
signals
• Healthcare and well-being data structures
• Medical signal and image processing and techniques
• Applications of AI techniques in healthcare and wellness
systems
• Intelligent computing and systems in medicine and
healthcare
• Biomedical packages
• Biomedical textual content mining
• Deep getting to know and methods to explain ailment
prediction
• Big statistics frameworks and architectures for carried
out scientific and health facts
• Visualization and interactive interfaces related to
healthcare systems
• Recommending and selection-making models and systems based
on AI and statistics mining technologies
• Machine studying and deep mastering packages for life,
disorder, most cancers, healthcare, and hospitals
• Querying and filtering on heterogeneous, multi-supply
streaming existence and fitness information
• Internet of factors and information management for human
life
• Data and packages for human life; records and packages for
technology improvement
• Emerging technology and applications of facts, database,
large data, and information mining, AI, models
Prof. Dr. Keun Ho RyuProf. Dr. Nipon Theera-UmponTopic
Editors
Keywords
Participating Journals
Published Papers (71 papers)
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