OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.
The incidence of in-hospital death in acute myocardial infarction (AMI) is high, which seriously threatens the life and health of patients. At present, many countries and regions have established a variety of objective assessment models for predictin...
OBJECTIVE: To explore the application of human behavior recognition based on convolutional neural network (CNN) in the new generation of pre-hospital first aid.
Through the big data intelligent algorithm and application of artificial intelligence in critically ill patients, the value of the combination of clinical real-time warning and artificial intelligence in critical care medicine was explored. Artificia...
Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infection is associated with increased risk of morbidity and mortality. A case of influenza A (H1N1) during late pregnancy (pregnancy 1, birth 0, pregnancy 3...
OBJECTIVE: To investigate the value of pulse indicator continuous cardiac output (PiCCO) monitoring in the treatment management of patients with severe heart failure.
OBJECTIVE: To investigate whether endogenous nociceptin/orphanin FQ (N/OFQ) can inhibit arrhythmia and expression of β-adrenergic receptor (β-AR) on the surface of myocardial cell membrane in acute myocardial ischemia rats by Raf kinase inhibitory pr...
OBJECTIVE: To study the protective effect of erythropoietin (EPO) on brain tissue with cardiac arrest-cardiopulmonary resuscitation (CA-CPR) and its mechanism.
OBJECTIVE: To implement hypothermia during blood purification to investigate its effect and risk in the treatment of postoperative cardiogenic shock in valvular heart disease.