Why Your 98% Accurate ResNet Needs Grad-CAM to Win Over Radiologists
This tutorial demonstrates how to build and evaluate an Alzheimer's MRI classification pipeline using PyTorch's ResNet18 model. It highlights the common pitfall of models achieving high accuracy by exploiting dataset-specific artifacts rather than genuine medical features. The guide emphasizes the importance of using techniques like Grad-CAM to visualize model attention and ensure it's focusing on relevant anatomical regions before clinical deployment. AI
IMPACT Provides a practical method for validating AI models in sensitive domains like medical imaging, ensuring trustworthiness beyond simple accuracy metrics.