EOCT 1 Artifical Intelligence OCT

Artificial Intelligence in Optical Coherence Tomography (AI-OCT) enhances retinal imaging by using machine learning to analyze OCT scans quickly and accurately. AI automates the detection of eye diseases like glaucoma, diabetic retinopathy, and macular degeneration, improving diagnosis, treatment monitoring, and early detection. This technology enables faster, more precise analysis, reducing human error and helping clinicians make informed decisions.

Product leading Al screening technology Empowering eye CT detection

Scenarios of Application

Eye optometry center

Physical Examination Center

Hospital, Community Clinic

Subject of Application

Myopia prevention and control

Screening for Diabetic Retinopathy

Screening of eye diseases for the elderly

1) High speed scanning, Ultra high definition imaging

86000 times/s, monocular scan in 2 seconds, high-definition tomography imaging, clear stratification facilitates diagnosis

2) Automatic stratification measurement for choroid membrane

Accurate detection for myopia development intervention

3) Comprehensive functions, to meet a variety of needs

OCT functions such as fundus imaging, anterior segment imaging, SLO fundus imaging, eye tracking, and imaging of cloudy liquids are equipped

4) Al eye disease screening system, to locate the abnormal images

Automatically identify common fundus lesions and conduct risk assessment

5) Cloud data archiving for information linkage

Cloud data aggregation with multiple terminals, efficient information linkage, instant transmission and reading, and high-speed information exchange

Al diagnosis, one-click enabling optometry detection / eye disease screening

Accuracy

0 %

Eyevis OCT provides artificial intelligence disease screening systems.The systems can facilitate rapid fundus screening at the basic optometry center and improve diagnostic efficiency and accuracy. The systems can issue the diagnosis report with one button, with the accuracy of up to 97%. The systems are suitable for primary healthcare and optometry industries. At the same time, the Al Diagnosis Cloud Platform is built to realize data linkage

Data Source: From over 10,000 People real scene test

AI Analysis Report

8K/4K Full HD

Resolution is 5µm

Artificial Intelligence Diagnosis

Eye Tracking

Feature	Specification
Scanning speed	≥86000 A-Scan/S
Image quality	SD; HD; 8K/4K
SLO function	Yes
Eye tracking function	Yes

Automatic stratification measurement of choroid membrane (Myopia developmental intervention precision testing)

Automatic thickness measurement, no manual layering required

OCT functions include multiple scanning modes such as line scanning, grid scanning, and three-dimensional scanning, Macular fovea choroidal thickness (SFCT), choroidal subarachnoid thickness map and mean choroidal thickness in the macular region can be measured.

Thickness monitoring before and after myopia prevention and control

Choroidal thickness is directly related to myopia. The higher the diopter, the thinner the choroidal thickness. Measuring choroidal thickness through OCT can effectively evaluate the therapeutic effect of myopia prevention and control measures. Such as evaluating the effect of corneal reshaping lenses, functional lenses, low concentration atropine, and feed light meter on changing choroidal thickness.