Analyze OCT images to diagnose retinal conditions
Predict retinal disease from an image
Analyze ECG data to determine Relax or Activate state
Conduct health diagnostics using images
Identify diabetic retinopathy stages from retinal images
Check medical images and conditions
Classify health symptoms to suggest possible diagnoses
Classify chest X-rays to detect diseases
Explore and analyze medical data through various tools
Upload MRI to detect brain tumors
Medical Chatbot
Diagnose diabetic retinopathy in images
Predict breast cancer from FNA images
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.