Predict CDMS conversion for CIS patients using symptoms and MRI data
Predict eye conditions from OCT images
Generate medical advice and treatment plans
Answer medical questions using real-time AI
Detect bone fractures from X-ray images
Classify chest X-rays to detect diseases
Store and analyze lung sounds
Visualize and analyze radiation therapy data using AI models
Explore and analyze medical data through various tools
Display prediction results for medical health status
Analyze eye images to identify ocular diseases
Classify medical images into 6 categories
Search and encode medical terms into MedDRA
Cis2ms is a specialized medical imaging tool designed to predict the conversion from Clinically Isolated Syndrome (CIS) to Clinically Definite Multiple Sclerosis (CDMS). By leveraging symptoms and MRI data, the tool helps clinicians identify early signs of MS progression, enabling timely intervention and personalized treatment plans.
• Predictive Analytics: Utilizes machine learning algorithms to predict CDMS conversion with high accuracy.
• Comprehensive Data Integration: Combines clinical symptoms and MRI scans for a holistic assessment.
• User-Friendly Interface: Designed for ease of use by clinicians and medical imaging specialists.
• Real-Time Predictions: Provides instant results for timely decision-making.
• Data Visualization: Offers clear and interpretable outputs to support diagnostic insights.
What is CDMS conversion?
CDMS stands for Clinically Definite Multiple Sclerosis, representing a definitive diagnosis of MS. Conversion from CIS to CDMS indicates the progression of the disease.
What data do I need to use cis2ms?
You need clinical symptoms data (e.g., patient history, physical exam findings) and MRI scans to use cis2ms effectively.
Is cis2ms accessible to all clinicians?
Yes, cis2ms is designed to be accessible to clinicians and medical imaging specialists. However, ensure you have the necessary permissions and training to use the tool.