An artificial intelligence eye disease screening diagnosis and treatment system based on ophthalmic robots

Abstract

The invention discloses an artificial intelligence eye disease screening and diagnosis and treatment system based on an ophthalmic robot, the steps of which are: automatically acquiring image data of an examiner's ocular surface, anterior segment and fundus, and synchronously and automatically acquiring multimodal data such as diopter and corneal curvature; With the above data, deep learning algorithms are used to construct an eye disease screening and diagnosis and treatment system to automatically analyze whether there are lesions in each part of the eyeball of the examinee, and to draw corresponding guidance and referral opinions. The invention can replace the ophthalmologist to perform the task of ophthalmology diagnosis and treatment in areas lacking ophthalmologists, assist ophthalmologists in ophthalmology diagnosis and treatment in large hospitals with a large number of patients, improve the efficiency of diagnosis and treatment, and reduce the harm caused by eye diseases to the crowd.

Description

technical field [0001] The invention relates to the technical field of eye disease diagnosis, in particular to an artificial intelligence eye disease screening diagnosis and treatment system based on an ophthalmic robot. Background technique [0002] At present, domestic and foreign studies report that the number of ophthalmologists is far from meeting the needs of the eye disease population. The ophthalmology departments of tertiary hospitals are overcrowded, and problems such as "difficult to see a doctor and expensive to see a doctor" have become increasingly prominent. There is a lack of ophthalmologists in community hospitals, township health centers, and medical examination centers, or ophthalmologists have limited diagnosis and treatment skills, and cannot implement effective screening for eye diseases. This has just caused many eye diseases to be unable to be discovered and diagnosed and treated in time. [0003] Especially in rural areas living in underdeveloped ar...

AI Technical Summary

Problems solved by technology

[0002] At present, domestic and foreign studies have reported that the number of ophthalmologists is far from meeting the needs of the eye disease population.

The ophthalmology departments of tertiary hospitals are overcrowded, and problems such as "difficult to see a doctor and expensive to see a doctor" have become increasingly prominent. There is a lack of ophthalmologists in community hospitals, township health centers, and physical examination centers, or ophthalmologists have limited diagnosis and treatment skills, and cannot implement effective screening for eye diseases.

In addition, the artificial intelligence eye disease screening system currently developed can only screen for fundus lesions or certain ocular surface diseases. In other words, such systems cannot intelligently screen for diseases of the whole eye from front to back.

More importantly, the equipment based on this artificial intelligence system still requires professionals to operate

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