The main difference between nuclear imaging and other radiologic tests is that nuclear imaging assesses how organs function, whereas other imaging methods assess anatomy, or how the organs look. The advantage of assessing the function of an organ is that it helps physicians make a diagnosis and plan present or future treatments for the part of the body being evaluated. Fast improvements in engi...

The field of healthcare informatics is rapidly evolving. The new models and protocols of medical information system (MIS) are developed. Despite obvious advantages and benefits, practical application of MIS in everyday practice is slow. Cloud computing have emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale sharing, innovative ap...

the most important goal of clinical researches is publishing the results in order to improve human health. if the results will be accepted by the scientific community, researcher aim would be achieved at improving public health. a published article does not guarantee the acceptance of its findings by the scientific community, hence, research should be done by considering a scientific plan. due ...

Pervasive computing systems are highly complex due not only to vast heterogeneity but also to mobile, ad hoc interactions. As a result, it is very costly to provide post-purchase customer support for home pervasive computing. We have investigated current approaches that might provide technologies for solutions: faulttolerant/reliable computing, self-healing/autonomic computing, and tools for te...

Accurate clinical decision making in medical monitoring relies on the strategical fusion of multiparameter physiological signals and thus usually demands a wide variety of complex machine learning approaches and a large set of knowledge database. However, those requirements impose great challenges on computing and storage capabilities, which make it impossible to execute on a single portable co...

The medical domain provides excellent opportunities for the application of computer graphics, visualization and virtual environments, with the potential to help improve healthcare and bring benefits to patients. This survey paper provides a comprehensive overview of the state-of-the-art in this exciting field. It has been written from the perspective of both computer scientists and practising c...

In this paper, we describe case-based techniques in a medical application. We have developed a prototype of an antibiotics therapy adviser within the ICONS project, where the main advantage of applying CBR techniques is to speed-up the process of computing advisable therapies. However, some adaptations do not really belong to the Case-Based Reasoning paradigm though information from former case...

Image segmentation is the foremost process in medical image processing. It aids the diagnostic and clinical analysis of MRI (Magnetic Resonance Imaging) images that were acquired through the most complex procedures of medical diagnostics. The earliest soft computing techniques in segmenting images were carried out through Fuzzy C-Means (FCM) and similar extensions of various clustering algorith...

diagnostic strategies for common medical problems What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our...

The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that ...