Artificial intelligence-based pelvis fracture first-aid assistant decision-making system and method

Abstract

The invention relates to an artificial intelligence-based pelvis fracture first-aid assistant decision-making system and a method. A data layer comprises an intelligent assistant decision-making knowledge base for first aid of pelvic fracture, the intelligent assistant decision-making knowledge base comprises historical case data and pelvic fracture diagnosis and treatment literature data, the data layer imports basic information of a patient with pelvic fracture emergency treatment, creates data information of the patient with pelvic fracture emergency treatment, collects vital signs, test and examination results and clinical treatment measures so as to track disease changes of the patient in real time; a processing layer intelligently learns related knowledge and cases of the pelvis fracture emergency treatment, extracts related literature data to expand the intelligent assistant decision-making knowledge base, performs image recognition on the imaging of a patient with the pelvis fracture emergency treatment, and performs semantic analysis and matching on the data analyzed by the patient with the pelvis fracture emergency treatment and the intelligent assistant decision-making knowledge base to extract decision-making suggestions; and an application layer displays relevant illness state data of the pelvic fracture emergency treatment patient, first-aid intelligent assistantdecision-making suggestions and actual treatment measures, and the summarized data are summarized in the data layer.

Description

technical field [0001] The invention relates to the technical field of trauma first aid assistance, in particular to an artificial intelligence-based emergency aid decision system and method for pelvic fractures. Background technique [0002] The incidence of pelvic fractures accounts for 0.3% to 8% of all fractures, but the mortality rate of pelvic fractures is close to 16%. For patients with hemodynamically unstable closed pelvic fractures, the mortality rate is as high as 27%, and it is even higher for patients with open pelvic fractures. As high as 55%, it was dubbed the horror title of "The Killing Fracture". Although today's trauma first aid procedures and measures have been improved day by day, the mortality rate of pelvic fractures is still the highest among all skeletal traumas, and bleeding is the main reversible factor causing death in about 42% of patients with pelvic fractures. The sources of bleeding mainly come from four aspects, bleeding from pelvic fracture...

AI Technical Summary

Problems solved by technology

However, emergency physicians often rely on their own experience to judge the condition. How to comprehensively evaluate the condition of patients with pelvic fractures, seize the opportunity to determine the source of bleeding as soon as possible, and treat scientifically, and adopt correct treatment strategies at the right time according to evidence-based medicine to improve the survival rate of patients. , is a huge challenge for trauma emergency physicians that needs to be solved urgently

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