Evaluating natural language generation (NLG) systems in the medical domain presents unique challenges due to the critical demands for accuracy, relevance, and domain-specific expertise. Traditional ...
Abstract: Recent advancements in medical vision-language tasks, such as Medical Visual Question Answering (Med-VQA) and Medical Image-Text Retrieval (Med-ITR), aim to jointly learn from images and ...
Abstract: Medical question answering aims to enhance diagnostic support, improve patient education, and assist in clinical decision-making by automatically answering medical-related queries, which is ...
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