Overseas Version

VeriSee DR

Improving the quality of diabetes care

VeriSee DR is an AI-assisted diagnostic software for diabetic retinopathy (DR) that identifies high-risk DR patients. Its core AI model has been trained from images labeled by retina specialists, and the software has been validated in a pivotal clinical trial against rigorous clinical reference standard. It leverages AI deep learning techniques to produce diagnosis results similar to that of professional ophthalmologists. Besides, it can be run on a device without network connection.
  • The first ophthalmic AI Software as a Medical Device (SaMD) approved by Taiwan FDA
  • Validated through rigorous clinical trial
  • No ophthalmologist required
  • Quick screening for high-risk cases
  • Supports integration with hospital information systems

Diabetic Retinopathy Screening Faces Multiple Challenges

Screenings at non-ophthalmology clinics
DR screenings are often conducted at diabetes 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 results.
Delayed diagnosis reports
Without instant analysis, diabetes patients are missing the critical treatment period and facing higher risks of going blind.
AI-powered Software to Optimize DR Screening Process

How It Works

Improving diabetic retinopathy diagnoses and disease tracking

Step 1
Step 1
Install the AI software on the computer connected to the fundus camera.
Step 2
Step 2
The software detects and analyzes new images in real-time, giving recommendations in 5 seconds with 93% accuracy.
Step 3
Step 3
The software produces a referral recommendation, assisting doctors in making diabetic retinopathy diagnosis efficiently.

Why VeriSee DR

Efficient workflow and smooth integration

Completes image capturing, analysis, and diagnosis in one single session
Each time a new fundus image is detected by the software, the image is automatically uploaded to VeriSee DR for quality verification and diagnosis recommendation.
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.
Supports integration 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 communication between endocrinologists and ophthalmologists and improves doctor-patient communication to increase patient awareness
Informative and user-friendly analysis reports that facilitate communication across multiple parties.

High performance and high accuracy

Result within seconds after image upload
sensitivity as validated in clinical trial
specificity as validated in clinical trial
* The above sensitivity and specificity performance is based on the results of a pivotal clinical trial approved by Taiwan FDA.

Recognized and Promoted 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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