The aim of the project is to implement clinical data analysis tools, expert systems that help physicians easier and more accurately make decisions on the patient’s diagnosis or treatment of the selection.

Clinical Decision Support System tools and solutions:
> Signal processing subsystem
> Age analysis system
> Data transformation system
> Expert system
> Knowledge databases

Signal processing subsystem can process and analyze imported signal data, formulate an expected diagnosis and assess its reliability. The analysis process is able to locate and show the key signals with which the conclusions of the analysis are made:
> EEG module is designed for epilepsy and other central nervous
system diseases diagnosis
> ECG module is designed for heart disease diagnostics using
electrocardiogram data

X-ray image analysis subsystem automatically interpret received images, analyze them, formulate an expected
diagnosis and show the key x-ray areas which led to this diagnosis to assist in clinical decision-making:
> Pneumonia and tuberculosis detection module for pneumonia and tuberculosis risk identification
> Skeletal age module for skeletal age determination
> Spinal disease recognition module for spine deformities, identification and evaluation Data transformation subsystem – provides tools for 3D reconstructions of computer tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) and other instrumental investigations:
> provides virtualization tools such as virtual colonoscopy
> provides tools for various automated and manual analysis

Expert subsystem
> a tool for health care professionals to share and use created by experts in their field of science and approved algorithms, diagnostics and treatment methods

Knowledge database
> part of information system where typical cases and standard diagnostic and treatment examples are stored