Analyze OCT images to diagnose retinal conditions
Predict based upon the user data.
Generate medical advice and treatment plans
Answer medical questions and get advice
Detect tumors in brain images
Conduct health diagnostics using images
Evaluate heart disease risk based on personal data
Evaluate cancer risk based on cell measurements
Generate medical advice based on text
Demo for UniMed-CLIP Medical VLMs
Diagnose diabetic retinopathy in images
Predict retinal disease from an image
Segment medical images to identify gastrointestinal parts
Efficientnet is a cutting-edge medical imaging solution designed to analyze OCT (Optical Coherence Tomography) images for the diagnosis of retinal conditions. It leverages advanced artificial intelligence to provide accurate and efficient diagnostic support, helping healthcare professionals make informed decisions.
What types of retinal conditions can Effcientnet detect?
Efficientnet is trained to identify a wide range of retinal conditions, including diabetic retinopathy, age-related macular degeneration, and glaucoma.
Is Effcientnet suitable for real-time clinical use?
Yes, Effcientnet is designed for real-time clinical use, offering rapid analysis to support timely decision-making.
Can I use Effcientnet with other imaging modalities?
Currently, Effcientnet is optimized for OCT images. Support for other modalities may be added in future updates.