Computer application software and airway management data system for predicting difficult airway

Abstract

The invention discloses computer application software and airway management data system for predicting a difficult airway. The computer application software and airway management data system for predicting the difficult airway comprises a medical staff application module and a central control module, and the medical staff application module and the central control module respectively comprise a plurality of units. The software and system have the beneficial effects that the software is based on the intrinsic mechanism of difficult airway formation, and the prediction accuracy is improved; onlya few direct factors for difficult airway formation are reserved, and the tedious multi-factor judgment process is omitted; through the computer graphic computing technology, modeling simulation is achieved, and the detection authenticity is high; through artificial intelligence machine learning of large-sample difficult airway clinical data and difficult airway facial feature data, a difficult airway artificial intelligence prediction model program and a difficult airway facial recognition model program are established respectively, and the prediction performance is further improved; and based on core function model programming and a big data management function, a user can conveniently carry out corresponding clinical application 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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