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Healthcare is continuously improving and developing. The aim is to establish a correct diagnosis quickly so that a treatment plan can be prepared in the shortest possible time. However, it is sometimes difficult for doctors to distinguish between different illnesses and disorders because the symptoms can often be very similar or because it is difficult to distinguish between images of benign and malignant tissue using the naked eye.ZiuZ offers a solution for this. By using its knowledge of visual intelligence and experience of image-based identification, ZiuZ develops new products to help doctors analyse medical images. ZiuZ has launched several healthcare improvement projects in collaboration with various medical centres in the Netherlands. One of these is NEMO, which was launched at the beginning of 2018 and which will be followed by a further project in second half of 2018.
The Next Move in Movement Disorders (NEMO) is a three-year collaboration project between ZiuZ and the University Medical Centre Groningen (UMCG). This project focuses on distinguishing between hyperkinetic movement disorders: disorders that are characterised by excessive involuntary movements, such as tremor, myoclonus, dystonia, tics or chorea. In practice it is sometimes very difficult to distinguish between these different types of involuntary movements. For doctors who do not encounter such disorders on a regular basis it is often difficult for them to recognise those disorders, and doctors don’t always agree on the same diagnosis.The aim of the NEMO project is to develop a Computer-Aided Diagnosis tool (CAD tool) which can help doctors distinguish between various types of movement disorders, for example by utilising a smart 3D camera and medical imaging and machine learning technologies. Sensors are used to measure movements and muscle activity when movements are being recorded. ZiuZ will be using artificial intelligence and pattern identification for developing the CAD tool.The intention is that the CAD tool will help doctors to establish the correct movement disorder in patients, thus allowing a correct diagnosis to be established faster and more often in patients in the future. In addition, it can be used for recording the natural development of movement disorders or to better evaluate the effect of treatment.NEMO is part financed by subsidies from the European Union (the European Regional Development Fund (via SNN)) and from the Province of Friesland.