Upload EEG data to classify signals as Normal or Abnormal
Segment teeth in X-rays
Generate detailed chest X-ray segmentations
Upload an X-ray to detect pneumonia
Evaluate cancer risk based on cell measurements
Classify chest X-rays to detect diseases
Classify lung cancer cases from images
Classify MRI images to detect brain tumors
Analyze OCT images to predict eye conditions
Start a healthcare AI assistant to get medical information
Predict diabetes risk based on medical data
Explore and analyze medical data through various tools
EEG Cls is an AI-powered medical imaging tool designed to classify EEG (electroencephalogram) signals as Normal or Abnormal. It simplifies the analysis process for clinicians and researchers by providing accurate and rapid classifications, enabling faster decision-making in neurological diagnostics.
• Advanced Signal Processing: Utilizes cutting-edge AI algorithms to analyze EEG data with high accuracy.
• User-Friendly Interface: Easy to navigate, making it accessible for both specialists and non-specialists.
• Real-Time Analysis: Provides quick results, reducing the time needed for manual interpretation.
• Compatibility with Standard EEG Formats: Supports common file formats like EDIF, BDF, and CSV.
What types of EEG files does EEG Cls support?
EEG Cls supports standard EEG file formats, including EDIF, BDF, and CSV. Ensure your data is in one of these formats for accurate analysis.
How accurate is EEG Cls in classifying signals?
EEG Cls uses advanced AI algorithms trained on large datasets, achieving high accuracy in classifying EEG signals. However, it is recommended to use it as a diagnostic aid and not a replacement for professional medical judgment.
Can EEG Cls be used by non-specialists?
Yes, EEG Cls is designed with a user-friendly interface, making it accessible for non-specialists. However, interpretation of results should be done under the guidance of a qualified healthcare professional.