Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning from tasks like camouflage detection, researchers improved the models’ ability to recognize tumors.
This study emphasizes explainability, enabling AI to highlight the areas it identifies as cancerous, fostering trust among radiologists and patients. While slightly less accurate than human detection, this method demonstrates promise for AI as a transparent tool in clinical radiology.
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