Medical self-learning system, method and device based on VR and storage medium

Abstract

The invention discloses a medical self-learning system, method and device based on VR and a storage medium, and the system comprises a man-machine interaction module which receives the operation of VR equipment; the data model selection module is used for calling corresponding model data from a preset medical database to construct a current data model according to a mode selection operation in the VR equipment operation; the data processing module is used for adjusting the current data model according to further VR equipment operation; and the visual feedback module is used for generating corresponding VR audio-visual data according to the current data model and displaying the VR audio-visual data on the external VR equipment. The technical effects of the invention are as follows: on one hand, VR equipment is used for demonstration through a three-dimensional model, the demonstration is vivid, and a user can deeply understand an organ model and the like through rotation, translation and the like, and on the other hand, compared with clinically known encountered and unsolved, the method does not depend on a case patient existing in reality, and the operation is simple and convenient. Therefore, clinical learning can be carried out, and the learning effect is greatly improved.

Description

technical field [0001] The invention relates to the field of education, in particular to a VR-based medical self-learning system, method, device and storage medium. Background technique [0002] The traditional medical education model based on language description, picture display and clinical practice is more and more unable to meet the diversified needs of modern medical education. [0003] Taking language description as an example, language description is often relatively rigid and the content is relatively abstract. It requires the educatee to have excellent imagination in order to realize the cognition of the relevant content, and the picture display, due to the attributes of the picture itself, is unavoidable. There will be various cognitive biases, and clinical apprenticeships can be met but not sought after, and are often limited by the level of the apprenticeship hospital. SUMMARY OF THE INVENTION [0004] In order to solve the above technical problems, the prese...

AI Technical Summary

Problems solved by technology

[0002] The traditional medical education model based on language description, picture display, and clinical practice is increasingly unable to meet the diverse needs of modern medical education

[0003] Take language description as an example. Language description is often relatively rigid and the content is relatively abstract. It requires the educated to have excellent imagination to realize the cognition of the relevant content. However, due to the properties of the picture itself, it is inevitable There will be a variety of cognitive biases, but clinical probation can be encountered but not sought after, and is often limited by the level of the probationary hospital, etc.

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