AI explainability is about understanding how an algorithm makes its decisions when reading medical images. In imaging research, tools like heatmaps can show which parts of an image influenced the AI’s result. This helps researchers and clinicians trust the model’s output and makes it easier to use AI results as part of reliable clinical evidence.