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
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,