Analyze OCT images to diagnose retinal conditions
Predict the best medicine and dosage for your pain
Evaluate cancer risk based on cell measurements
Analyze ECG data to determine Relax or Activate state
Generate detailed medical advice from text input
Consult symptoms and reports with AI doctor
Upload EEG data to classify signals as Normal or Abnormal
Generate medical advice and treatment plans
Classify medical images into 6 categories
Identify potential diseases from symptoms
Classify health symptoms to suggest possible diagnoses
Find the right medical specialist for your symptoms
Conduct health diagnostics using 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.