Artificial intelligence-based pelvis fracture first-aid assistant decision-making system and method
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A pelvic fracture and auxiliary decision-making technology, which is applied in computer-aided medical procedures, image data processing, medical automated diagnosis, etc., to achieve the effects of shortening first aid time, improving success rate, and improving survival probability
Pending Publication Date: 2020-10-13
SHANGHAI PUDONG HOSPITAL
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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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Embodiment 1
[0030] Such as figure 1 As shown, the present embodiment provides a kind of artificial intelligence-based pelvic fracture first aid auxiliary decision-making system, including data layer 1, processing layer 2, application layer 3 of the pelvic fracture first aid auxiliary decision-making platform based on artificial intelligence (see figure 1 ).
[0031] In the present invention, the data layer 1 includes patient data collection, pelvic fracture first aid intelligent auxiliary decision-making knowledge base, and the knowledge base includes historical case data and intelligently retrieved pelvic fracture diagnosis and treatment literature data. Data collection imports 120 emergency center, HIS / LIS / RIS and other hospital clinical data through manual input or API interface, imports the basic information of admitted patients, creates patient data information, collects vital signs, inspection and inspection results, clinical treatment measures, etc. Real-time tracking of changes i...
Embodiment 2
[0036] Such as figure 2 As shown, the present embodiment provides an artificial intelligence-based first aid decision-making method for pelvic fractures, comprising the following steps:
[0037] Step 101. Import the basic information of the first aid patients with pelvic fractures, and collect the chief complaints, current medical history, past history, personal history, dynamic vital signs, inspection results and clinical treatment measures of the first aid patients with pelvic fractures.
[0038] Step 102: Based on the collected information of emergency patients with pelvic fractures, perform image recognition on imaging of emergency patients with pelvic fractures, perform accurate Tile classification, Young-Burgess classification, and AO classification for pelvic fractures, and analyze pelvic fractures The trauma score, trauma severity score, brief injury score, modified Glasgow coma score, and shock index score were used for the current condition data of emergency patient...
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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...
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