Wodan AI - Secure AI

This demonstration analyzes tag-based medical data (e.g., tumor size, density, BI-RADS scores) to identify key patterns, including benign vs. malignant classifications, risk factor correlations, and diagnostic red flags. Understanding these markers helps clinicians improve early detection accuracy, predict high-risk cases, and optimize treatment planning for better patient outcomes.

Step 1: Train Encrypted Model

Train a secure model with the Diagnostic Wisconsin Breast Cancer Dataset.

Step 2: Prediction data

Send encrypted information to the server.

Step 3: View Encrypted Data

Decrypt the answer from the server/model.


Step 4: Metrics

Compare the accuracy of the encrypted model vs. the normal model.

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