Of particular importance is the use of neural networks in radiological research. X-ray images processed and analyzed by networks reveal much more pathologies at the earliest stages, which is very important for an early diagnosis and timely treatment.
For example, a doctor can make only a few probable diagnoses from photographs of the patient’s chest, which he sees from his experience in the image. But neural networks compare thousands of similar images of patients from the ones uploaded to the database, compare and analyze. Quickly, clearly and they are not distracted by trifles.
So there is not two or three probable diagnoses, but even more. Since attention is drawn not to one organ or problem, but immediately to the whole picture as a whole.
That is, neural networks are able to see several serious diseases in humans in one ordinary x-ray of the lungs:
● rib fracture;
● vertebral hernia;
● heart hypertrophy;
● skin lesion;
● collapse of the lung and many concomitant diseases.
With neural networks, diagnosis reaches a new level and significantly improves the work of dozens of medical services, since one study reveals more information than a team of doctors can collect for the entire period of the medical examination.
Early diagnosis and analysis of results by neural networks is a huge help not only to the patient himself on the path to recovery, but also for many therapists, ophthalmologists, oncologists, surgeons, dermatologists, allergologists, cardiologists and doctors of other specialties. For whom it is very important to find the problem at an early stage.
Even for psychotherapists, neural networks are useful, because based on the analysis of medical records and family history, they can track the prerequisites for mental disorders and depression. And, therefore, on time to prescribe and start taking medications, which is able to save the mind of patients.
Not only radiology and images from computed tomography or from an X-ray machine can process neural networks well.
They are also developing well in the field of cardiology, where, according to the results of diagnostics, they put on treatment the treatment of heart and vascular diseases.
The system was developed by Italian specialists, especially for the detection and treatment of hypertension. It is a neural network of three modules, the results of one or two are input data for others.
The Italian system includes three neural network modules, and some answers are input to others.