Medios Technologies develops deep learning software that analyzes retinal images to detect diabetic retinopathy. Their technology enables primary care physicians to screen for this condition, facilitating earlier diagnosis and treatment without requiring a specialist.
Funding
Funding not disclosed
Founders
Product
Problem
Diabetic retinopathy (DR) often goes undetected until it reaches advanced stages, leading to potential vision loss. Early detection is critical for effective intervention, but requires specialized ophthalmological expertise that is not always readily accessible in primary care settings. This lack of accessible screening can result in delayed diagnoses and poorer patient outcomes.
Solution
Medios Technologies offers an AI-powered software solution that enables primary care physicians to screen for diabetic retinopathy using fundus images. The software analyzes retinal scans to identify indicators of DR, providing immediate results without the need for a specialist's interpretation. By integrating this technology into primary care practices, Medios facilitates earlier detection and timely referral for treatment, ultimately helping to prevent vision loss in patients with diabetes. The AI assistant works with any fundus image and requires no training to use.
Target Audience
The primary target audience includes primary care physicians and general practitioners seeking to expand their services and improve early detection of diabetic retinopathy in their diabetic patients.
Features
- AI-driven analysis of fundus images for diabetic retinopathy detection
- Instant results generation, eliminating wait times for specialist review
- Compatibility with any fundus camera, ensuring broad applicability
- User-friendly interface requiring no specialized training