A computer application software and airway management data system for predicting difficult airway

Abstract

The invention discloses a computer application software and an airway management data system for predicting difficult airways, including a medical personnel application module and a central control module, each of which contains a plurality of units. The beneficial effect is that: the software is based on the internal mechanism of the formation of difficult airway, which improves the accuracy of prediction; only a few direct factors of the formation of difficult airway are retained, and the cumbersome multi-factor judgment process is omitted; through computer graphics calculation technology, modeling and simulation, High detection authenticity; through artificial intelligence machine learning of large samples of difficult airway clinical data and difficult airway facial feature data, respectively establish a difficult airway artificial intelligence prediction model program and a difficult airway facial recognition model program to further improve prediction performance; Based on the core function model programming and big data management functions, it is convenient for users to carry out corresponding clinical applications and scientific research work.

Description

technical field [0001] The invention relates to the technical field of clinical medicine, in particular to a computer application software for predicting difficult airways and an airway management data system. Background technique [0002] Difficult airway situation refers to the situation where artificial ventilation is required due to illness or surgery in the diagnosis and treatment of general anesthesia, first aid, and critically ill patients, but difficulties are encountered in establishing artificial ventilation channels. [0003] Clinical difficult airway situations include mask ventilation difficulty, laryngoscopy difficulty in glottis, intubation difficulty, intubation failure, and supraglottic airway difficulty, whether for rescue intubation in critically ill patients or endotracheal intubation after induction of general anesthesia The patient has lost normal respiratory function. Once the patient cannot be successfully intubated in time and cannot be ventilated ef...

AI Technical Summary

Problems solved by technology

[0005] 1. Difficult airway is formed by many factors, but the anatomical principle of difficult airway has not been ascertained;

[0006] 2. At present, there are more than 20 predictive factors, but most of them have poor correlation with predicting difficult airway, and it is difficult to be effectively implemented in clinical work;

[0007] 3. Lack of systematic data support for large samples;

[0008] 4. Most of them are based on body surface anatomical landmarks, which are poorly correlated with real airway anatomical manifestations;

[0009] 5. The interaction between parameters and factors and the mechanism of the formation of difficult airway have not been revealed

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