Advances in Artificial Intelligence

Artificial Intelligence Applications in Biomedicine

Publishing date
16 Nov 2012
Submission deadline
29 Jun 2012

1Department of Informatics, Ionian University, Palaia Anaktora, 49100 Corfu, Greece

2Department of Informatics in Economy, Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest Academy of Economic Studies, 15-17 Dorobanti Avenue, District 1, 71131 Bucharest, Romania

3Faculty of Mathematics and Computer Science, University of Pitesti, Targu din Vale Steet No.1, Arges, 110040 Pitesti, Romania

4Department of Computer Science, Computer Learning Research Centre, Royal Holloway University of London, Egham, UK

Artificial Intelligence Applications in Biomedicine


Recent technological advances in medical informatics, biomedical engineering, and biomedicine facilitated the development of complex biomedical systems including innovated clinical and computer-based decision support systems, knowledge acquisition and management, medical imaging, computational intelligence in bioclinical medicine, molecular medicine, and healthcare organizational aspects.

Additionally, artificial intelligence is having a great impact on the fields of biology, biotechnology, and medicine in general and can be implemented in real-world applications through applications of machine learning, neural computing, expert systems, fuzzy logic, genetic algorithms, or Bayesian modeling.

While AI tools and techniques are a vital part of modern computer-based systems that handle medical data, we invite researchers to contribute original research articles as well as review articles describing advanced prototypes, innovative systems, tools, and techniques, as well as papers indicating future directions or professional work-in-progress reports. Theoretical contributions may include presentation or analysis of the properties of novel AI methodologies potentially useful to solve biomedical problems or the requirements of new AI-inspired tools and systems in the medical field. Acceptance will be based on quality, originality, and the practical value of the work. Potential topics include, but are not limited to:

  • Healthcare process management
  • Knowledge acquisition and management
  • Protocols and guidelines
  • Computational intelligence in bioclinical medicine
  • Computer/clinical decision support systems
  • Medical imaging and signal processing, text analysis
  • Natural language generation and understanding
  • Medical data mining
  • Bioinformatics and neurosciences
  • Drug discovery
  • Intelligent analysis of genomic and proteomic data
  • Automated reasoning and metareasoning in medicine
  • Machine learning, knowledge discovery, and data mining
  • Medical informatics and biomedical engineering
  • Artificial neural networks, expert systems, fuzzy logic, and systems
  • Genetic algorithms and programming, Bayesian models
  • Biomedical ontologies and terminologies
  • AI in medical education
  • AI and ethical issues

Before submission authors should carefully read over the journal's Author Guidelines, which are located at Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable:

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