Analyze OCT images to diagnose retinal conditions
Detect bone fractures from X-ray images
Generate detailed medical advice from text input
Upload MRI to detect tumors and predict survival
Identify diabetic retinopathy stages from retinal images
Predict chest diseases from X-ray images
Classify chest X-rays to detect diseases
Store and analyze lung sounds
Generate medical advice and treatment plans
Predict heart disease risk using health data
Evaluate heart disease risk based on personal data
Predict monkeypox risk based on symptoms
Answer medical questions using real-time AI
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.