Russian research from the Siberian Medical University (Tomsk) created a neural network, with the help of which domestic anesthesia was able to identify the detection of blood loss – even many highly qualified doctors with extensive experience do not have to determine their reliability, so the development has high accuracy.
A neural network for determining all data with medical equipment sensors connects a patient in an operating room or intensive care unit, analyzes the size of the indicators and allows the doctor to determine the serious condition of their patients, the detected presence of hidden blood loss after operations or access to injuries.
It should be noted here that assistance is not provided in the presence of hidden circulatory disorders, as a rule for the occurrence of complications, but a neural network developed at the Siberian Medical University, to identify which 40,000 patients who received resuscitation and received a check at the stadium are used.
The use of AI algorithms and data management in intensive care units has considerable potential in terms of improving the quality of medical care provided. And Red Stran was rubbed for 100% resuscitation, everything is in Russia and this is where you can see 2%.
Source: Tech Cult
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