Health AI Central
Peer-Reviewed Publication
Stud Health Technol Inform2026;340199-207.September 17, 2026Journal Article

A Lightweight Framework for Medical Named Entity Recognition and Relation Extraction.

Sihan Wu1, Susanna Gordon1, Martin Boeker1, Luise Modersohn1
1Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital.
PubMed DOI

Abstract

INTRODUCTION: Clinical text in electronic health records contains valuable information for medical research. Named entity recognition (NER) and relation extraction (RE) are key tasks for structuring this information, but existing deep learning approaches are often computationally expensive. METHODS: We develop a lightweight, pipeline-based NER-RE system using neural networks with contextualized e…

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