Author

Rodrigo Salas

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Open access Sep 2026

A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation

A structured Retrieval-Augmented Generation (RAG) framework that leverages annotated mammography reports as in-context demonstrations, enabling joint named entity and relation extraction without task-specific fine-tuning is proposed and achieves performance comparable to fine-tuned BETO models in low-resource settings,...

Eduardo Godoy, J. De Ferrari, Sofia Lazo et al. · BMC Medical Informatics and... · 1 citation · ⚡1

Open access Aug 2026

A spatiotemporal U-Net++ deep learning framework for dengue risk mapping in Colombia

A spatio-temporal deep learning framework based on the U-Net++ architecture is proposed to generate high-resolution dengue risk maps in Colombia and highlights the potential of integrating heterogeneous climatic, environmental, and socioeconomic data within a spatiotemporal deep learning framework to characterize dengu...

Daira Velandia, J. Contador, Juan Zamora et al. · Scientific Reports · 0 citations