Photoscanning of pathology using artificial intelligence
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Diagnostics using a neural network

Neural networks in medicine: what is it and how does it work?

Machine learning technologies are increasingly penetrating everyday life, and we do not even think that it was artificial intelligence that formed our feed on Instagram and other social networks.

Of course, he also has more serious tasks – for example, forecasting the demand for goods, face recognition, fingerprints or voice recognition. However, it is difficult to imagine a more important and promising field of AI application than medicine.Serious advances in this area are expected from neural networks – these are the diagnosis of various diseases, and the development of new drugs, and new methods of treatment. How justified are these expectations? We will talk about how neural networks work in medicine and about specific systems of assistance in making medical decisions in this article. 
More about Improvement of diagnostic equipment, improvement of the method here 

Neural networks for medical diagnostics

Machine learning technologies can be applied when working with various types of information.

 

The most widespread use of neural networks in medicine is in the field of working with images. The workflow of medical institutions is inextricably linked with the collection, processing and analysis of various medical images: X-rays, CT scans, digital histological examinations, and so on.

 

The subdirection of artificial intelligence, which deals with working with images and video streams, is called Computer Vision or computer vision. This direction is the most promising in medical diagnostics and screening of pathologies.

 

Services using computer vision technology are being developed all over the world and help doctors detect signs of various diseases, including oncology. One of such projects is Celsus, the development of the Russian company Medical Screening Systems.

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