Designing Medical AI Without Oversimplifying Reality

Zeineb improves AutoScanAI through fine-tuning and adds a Medical LLM Explainer to deliver robust, clinically interpretable, WHO-aware AI outputs.

Zeineb introduces her medical AI project focused on early brain tumor detection, explaining how AI, precision, and analysis can improve patient outcomes.

Zeineb shares progress on her model, discussing recent experiments and how she’s refining the system while evaluating results as the project moves forward.

Zeineb explains why she upgraded her MRI tumor-detection model from ResNet18 to ResNet50 to build a stronger system for more accurate detection.