Predict retinal disease from an image
Analyze images to diagnose wounds
Demo for UniMed-CLIP Medical VLMs
Segment medical images to identify gastrointestinal parts
Describe a medical image in text
Answer medical questions using real-time AI
Submit brain MRI to detect tumors
Predict pediatric pneumonia from chest X-rays
Classify lung cancer cases from images
Answer medical questions and get advice
Analyze OCT images to diagnose retinal conditions
Display prediction results for medical health status
Ask medical questions and get detailed answers
Retinal_Disease_Prediction is a Medical Imaging application designed to predict retinal disease from an image. It leverages advanced AI technology to analyze retinal images and detect potential diseases, providing a valuable tool for early diagnosis and monitoring.
• Image Analysis: Processes retinal images to identify abnormalities and patterns indicative of disease.
• Disease Detection: Capable of detecting various retinal conditions such as diabetic retinopathy, macular degeneration, and glaucoma.
• High Accuracy: Utilizes state-of-the-art AI models to ensure accurate predictions.
• Medical Decision Support: Provides insights to assist healthcare professionals in diagnosis and treatment planning.
• Image Compatibility: Supports analysis of fundus photography and OCT scans.
• Real-Time Processing: Generates results quickly, enabling prompt clinical decisions.
• User-Friendly Interface: Designed for ease of use by both medical professionals and researchers.
• Data Privacy: Ensures patient data security and compliance with medical regulations.
What types of retinal diseases can Retinal_Disease_Prediction detect?
Retinal_Disease_Prediction can detect a variety of conditions, including diabetic retinopathy, age-related macular degeneration, and glaucoma.
How accurate is Retinal_Disease_Prediction?
The tool uses advanced AI models to ensure high accuracy, but results should always be validated by a qualified healthcare professional.
Can I use Retinal_Disease_Prediction with any type of retinal image?
The application supports fundus photography and OCT scans. Ensure images are of sufficient quality for accurate analysis.