The Medico 2025 challenge addresses Visual Question Answering (VQA) for Gastrointestinal (GI) imaging, organized as part of the MediaEval task series. The challenge focuses on developing Explainable Artificial Intelligence (XAI) models that answer clinically relevant questions based on GI endoscopy images while providing interpretable justifications aligned with medical reasoning. It introduces two subtasks: (1) answering diverse types of visual questions using the Kvasir-VQA-x1 dataset, and (2) generating multimodal explanations to support clinical decision-making. The Kvasir-VQA-x1 dataset, created from 6,500 images and 159,549 complex question-answer (QA) pairs, serves as the benchmark for the challenge. By combining quantitative performance metrics and expert-reviewed explainability assessments, this task aims to advance trustworthy Artificial Intelligence (AI) in medical image analysis. Instructions, data access, and an updated guide for participation are available in the official competition repository: https://github.com/simula/MediaEval-Medico-2025

翻译：Medico 2025挑战赛旨在解决胃肠道影像的视觉问答问题，是MediaEval系列任务的一部分。该挑战赛聚焦于开发可解释人工智能模型，这些模型能够基于胃肠道内窥镜图像回答临床相关问题，并提供符合医学推理的可解释性依据。挑战赛引入了两个子任务：（1）使用Kvasir-VQA-x1数据集回答多种类型的视觉问题；（2）生成多模态解释以支持临床决策。Kvasir-VQA-x1数据集包含6,500张图像和159,549个复杂问答对，是本挑战赛的基准数据集。通过结合定量性能指标和专家评审的可解释性评估，本任务旨在推动医学图像分析领域可信人工智能的发展。官方竞赛仓库提供了参与说明、数据访问及更新指南：https://github.com/simula/MediaEval-Medico-2025