most citedWorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

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cs.CL2024★ 2 cited

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

João Matos, Shan Chen, Siena Placino +13

Multimodal/vision language models (VLMs) are increasingly being deployed in healthcare settings worldwide, necessitating robust benchmarks to ensure their safety, efficacy, and fai…

cs.CL2024

EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models

João Matos, Jack Gallifant, Jian Pei +1

Electronic health records (EHRs) contain vast amounts of complex data, but harmonizing and processing this information remains a challenging and costly task requiring significant c…