Papers with medical education

3 papers
MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing (2025.findings-emnlp)

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Challenge: Text-guided image editing has seen significant progress in natural image domains, but its application in medical imaging remains limited.
Approach: a new benchmark is designed to diagnose reliability in text-guided medical image editing. a clinically grounded evaluation framework measures Editing Accuracy, Context Preservation, and Visual Quality.
Outcome: a new benchmark is designed to diagnose reliability in medical image editing.
A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System (2020.lrec-1)

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Challenge: Existing methods for creating virtual patient dialogue systems require large data specific to the language, domain and clinical cases studied.
Approach: They propose to build an annotated corpus of medical dialogues in french using medical interviews and a data annotation scheme.
Outcome: The proposed corpus is made publicly available under a Free/Libre Open Source licence.
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels (2025.findings-emnlp)

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Challenge: Effective zero-shot dense retrieval in the medical domain remains difficult due to the scarcity of relevance-labeled data.
Approach: They propose a framework that leverages large language models to generate hypothetical documents . they also propose 'CMIRB' to provide a rigorous evaluation suite .
Outcome: The proposed framework outperforms HyDE in retrieval accuracy and generalization . it leverages large language models to generate hypothetical documents conditioned on a query .

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