VeriSee DR

Improving the quality of diabetes care

VeriSee DR is an AI-based diagnostic software that has been trained from the diabetic retinopathy (DR) diagnosis experiences of multiple ophthalmologists. It leverages AI deep learning techniques to produce diagnosis results similar to that of professional ophthalmologists. Besides, it can be run on an edge computing device without network connection
  • The first ophthalmic medical AI device approved by Taiwan FDA
  • Validated through rigorous clinical trial
  • No ophthalmologist required
  • Quick screening for high-risk cases
  • Integration with hospital information systems

Diabetic Retinopathy Detection Faces Multiple Challenges

Screenings at non-ophthalmology clinics
Diabetic Retinopathy screenings are often conducted at clinics, but diabetes specialists may not be trained in interpreting retinal images.
Shortage of ophthalmologists
The doctor-to-patient ratio​ is low across the world, resulting in overworked ophthalmologists and delayed diagnosis reports.
Delayed diagnosis reports
Without instant analysis, diabetes patients are missing the critical treatment period and facing higher risks of going blind.
What If Life-Changing Illnesses Were Easily Preventable?

How It Works

Improving diabetic retinopathy diagnoses and process tracking

Step 1
Install the AI software on the computer connected to the fundus camera
Step 2
The software will detect and analyze new images in real time, giving recommendations in 3-5 seconds with 93% accuracy
Step 3
The software will then produce a report​, assisting doctors in making a diabetic retinopathy diagnosis efficiently

Why VeriSee DR

Efficient workflow and smooth integration

Conducts image capturing, analysis, and diagnosis in one single session
Each time a fundus image is detected by the software, the image is automatically uploaded to VeriSee DR for quality verification and diagnosis
Handles a large number of cases efficiently with batch analysis mode
Up to 1000 fundus images can be uploaded to VeriSee DR at once. Analysis results are saved in CSV format to better integrate with the hospital's systems and for future research use
Integrates with the hospital's information system
Smooth integration with hospital information system (HIS), picture archiving and communication system (PACS), and the image capturing apparatus
Enhances inter-departmental and doctor-patient communication
Explore user-friendly analysis reports that facilitate communication across multiple parties.

High performance with top accuracy

seconds after each image is uploaded
The clinical trial results reach sensitivity
The clinical trial results reach specificity

Recognized by International Professional Communities

Journal of the Formosan Medical Association, 2020. Application of deep learning image assessment software VeriSeeTM for diabetic retinopathy screening.

The 12th Asia-Pacific Vitreo-Retina Society (APVRS) Congress,

– Seoul, South Korea, 2018

The 34th Asia-Pacific Academy of Ophthalmology (APAO) Congress,

– Bangkok, Thailand, 2019

Journal of the Formosan Medical Association, 2020. Application of deep learning image assessment software VeriSeeTM for diabetic retinopathy screening.

The 12th Asia-Pacific Vitreo-Retina Society (APVRS) Congress,

– Seoul, South Korea, 2018

The 34th Asia-Pacific Academy of Ophthalmology (APAO) Congress,

– Bangkok, Thailand, 2019

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