At this stage, artificial intelligence has been gradually used in the pharmaceutical industry, such as image recognition technology, video voice solution and other industries.So, does artificial intelligence have new progress in the kidney disease industry, especially the dialysis industry?It is based on the use of artificial intelligence in the use of artificial intelligence in the use of artificial intelligence in the use of dialysis in Italy, and published it in the recent KidneyDisease magazine journal.At this stage, the dialysis machinery and equipment cannot be fully automatically solved in the sudden situation in the dialysis, nor can it be analyzed in the patient's previous situation, and then humanized treatment is carried out.In the future, independent innovation dialysis machines and equipment are expected to be a miniaturization, continuity, and precision medical dialysis treatment.Such dialysis machinery and equipment must be configured with instant machinery and equipment alarm equipment, real -time monitoring of main parameters, and real -time monitoring patients related data information to ensure that patients' security and their continuous transformation of the patients are based on the transformation of the patient's main parameters.This kind of future independent innovation machinery and equipment must be obtained and resolved on Internet big data, and their instant prediction models must be obtained.This must participate in artificial intelligence such as deep learning.In order to better discuss the harm of artificial intelligence to the present and its future medical care, the recent outpatient clinic at L "Hospitalet Hospital in Barcelona, Italy, inviting authoritative experts at the level of artificial intelligence and dialysis to host a related artificial intelligence dialysis. Scientific research conference used in China.The following is an example of some artificial intelligence in blood transmissions:

Iron deficiency anemia treatment and iron deficiency anemia vertical physical model

Although dialysis can replace the effect of blood filtration of kidney function, the dialysis itself cannot replace the metabolism and endocrine disorders that can replace kidney function.Therefore, dialysis patients often combine the disease caused by imbalances caused by the imbalance of the kidney function of the kidneys: iron deficiency anemia.The occurrence of exogenous blood cells (ESA) improves the iron deficiency anemia of patients with dialysis, but there is a difference in personal effects.In order to better assist the doctor of nephritis to regulate the use of ESA and iron supplements for iron deficiency anemia, it has developed a special tool for artificial intelligence.This type of iron deficiency anemia vertical physical model (ACM) includes two components: (1) According to the neural network algorithm, the level of hemoglobin concentration in the future is predicted according to the patient's clinical data;Realize the use of good ESA and iron supplements at the level of target hemoglobin concentration.It must be paid attention to that ACM only gives strong healing, but it must further certify the effect of strong use.Based on the current situation of the patient (laboratory inspection, benchmark line materials, main parameters of dialysis), ESA and iron supplements, according to neural network algorithms, training and predict the transformation of hemoglobin concentration in the next month.This type of prediction model is actually based on different ESA usage as a variable, and hemoglobin concentration is used as the number of culverts of the independent variable. The following steps of ESA use.

software has improved the patient's iron deficiency anemia (70.6%to 83.2%), reducing personal differences (8.3g/L to 9.5g/L) of the qualifications of iron deficiency anemia (8.3g/L to 9.5g/L), reducing hemoglobin concentration over Standards (> 12g/L), reduce the amount of ESA and iron supplements.

        Low blood pressure and deep learning system software

        During the dialysis, low blood pressure (IDH) occurred among 20%of patients, and increased mortality and disease rate of cardiovascular and cerebrovascular disease. The occurrence of IDH is due to the overall target weight changes, the ability to return the blood from the blood self -blood, and the disorders between the work capacity of the endocrine system. In order to prevent IDH, a multi-key-multi-output system software is developed, named Hemocontroltm system software. The Hemocontroltm system software evaluates three independent variables (blood night volume, rest meal variable volume, and its dialysis solution sodium concentration value), and the main parameters of the transparent analysis (ultrafiltration membrane volume and dialysis sodium concentration value). Based on a microbial effect (Hemoscantm), the concentration value of hemoglobin concentration is evaluated by the basic principle of optical meter, and the relative blood night volume (RBV). RBV is obtained based on the percentage of the patient's ultra -filter membrane volume to the overall target blood flow. The Hemocontroltm system software adjusts the trend analysis of RBV according to the sodium concentration value of the dialysis solution and its ultra -filter membrane rate. Scientific research has reminded that compared with basic hematomas, Hemocontroltm system software can reduce the incidence of IDH by 39%, reduce sudden heart death, and still maintain a high filtration of each treatment. The Hemocontroltm system software can promote the release of compression in which the high -sodium dialysis solution is used to apply high sodium dialysis solution, which is a very likely system that reduces the incidence of IDH.