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_editions/2025/tasks/medico.md

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@@ -67,7 +67,6 @@ Subtask 2: The evaluation for this subtask will consider both answer correctness
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Here are several research questions related to this challenge that participants can strive to answer in order to go beyond just looking at the evaluation metrics:
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* How can AI models generate explanations that align with clinical reasoning and enhance trust among medical professionals?
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* What techniques improve the transparency of deep learning models when answering medical VQA tasks?
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* How can visual attention mechanisms, uncertainty estimation, or multimodal reasoning be leveraged to provide meaningful justifications?
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* What are the most effective strategies for evaluating the quality and reliability of AI-generated explanations in GI diagnostics?
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* How can preprocessing and post-processing techniques be optimized to improve explainability while maintaining accuracy?

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