Computerised systems are one of the fastest growing areas within medicine at present, both in the clinical setting in hospitals and in research and development (R&D). The importance of such systems for patient management is growing steadily and plays an increasingly important role in treatment and diagnosis. Intelligent systems are becoming the core for such system, where they provide more rapid and precise patients' management, aid diagnosis, and improved outcome. Furthermore, intelligent systems benefit the health care system through improved accuracy and more cost-effective solutions.

Initially, singular approaches were used but increasingly this has moved towards hybridisation, in particular that of artificial intelligence techniques. The current emphasis is on hydride models (quantitative/qualitative) and hybrid intelligent algorithms (fuzzy logic, neural networks, and neurofuzzy systems) applied into biomedical applications. The purpose of this special issue is to promote research and developments of the best work in the field of hybrid intelligent systems for biomedical applications. We would like to invite you to submit original research articles of your best work in this field. Potential topics include, but are not limited to:

• Case-based reasoning
• Control systems
• Data mining
• Data fusion
• Information modeling
• Intelligent databases and information retrieval
• Intelligent decision support systems
• Intelligent system architectures
• Knowledge discovery and acquisition
• Knowledge representation
• Machine learning
• Modelling and simulation
• Image processing

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/afs/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: