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Saving lives with data by providing regulatory-grade safety and effectiveness data.

AI-powered autonomous detection of diabetic retinopathy and other eye diseases.

The EyeArt AI Eye Screening System leverages deep learning and image analysis algorithms for the autonomous detection of diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma. It analyzes retinal images acquired through integrated fundus cameras, providing results in under 60 seconds. The system incorporates algorithms to assess image quality, detect lesions, and determine disease levels based on internationally recognized clinical scales. EyeArt offers automated DR screening without expert human grading or eye dilation, enabling imaging, grading, and reporting during a single office visit. It boasts US FDA clearance, CE marking in the European Union, and Health Canada license. Its integration with existing clinical workflows allows for point-of-care screening, potentially improving patient compliance and early diagnosis.
The EyeArt AI Eye Screening System leverages deep learning and image analysis algorithms for the autonomous detection of diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma.
Explore all tools that specialize in retinal image analysis. This domain focus ensures EyeArt AI Eye Screening System delivers optimized results for this specific requirement.
The EyeArt system uses deep learning algorithms to autonomously analyze retinal images without manual grading, reducing the need for expert ophthalmologists.
Provides instant feedback on image quality during acquisition to ensure optimal diagnostic accuracy.
Generates easy-to-read reports in under 60 seconds, providing a summary of findings and recommended actions.
Capable of detecting diabetic retinopathy, age-related macular degeneration, and glaucoma using a single imaging platform.
Seamlessly integrates with a range of retinal cameras, providing flexibility in hardware choices.
EyeMark™ accurately tracks retinopathy progression (currently under development).
Install the EyeArt software on a compatible computer system.
Connect the integrated fundus camera to the system.
Calibrate the camera according to the manufacturer's instructions.
Train nurses or technicians on image acquisition protocols.
Integrate the EyeArt system with the clinic's EMR system for data transfer.
Configure reporting templates for automated result generation.
Establish a workflow for patient referrals based on EyeArt findings.
All Set
Ready to go
Verified feedback from other users.
"Users praise the system's accuracy and speed, noting significant improvements in screening efficiency."
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