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CardioLM: Multilingual LLMs for Cardiology Domain

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CardioLM, a suite of multilingual small language models specifically designed for cardiology domain tasks. The project includes CardioCCC, a corpus of translated and annotated case reports in six languages, and CardioNER, a named entity recognition model fine-tuned on this corpus. Multilingual joint training proved more effective than specialty-specific pretraining for improving performance across languages, with CardioNER significantly outperforming baseline methods in clinical utility. AI

IMPACT Enhances multilingual clinical information extraction capabilities in cardiology.

RANK_REASON Publication of a research paper detailing a new suite of language models and a corpus for a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

CardioLM: Multilingual LLMs for Cardiology Domain

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Publication of a research paper detailing a new suite of language models and a corpus for a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Manuela-Daniela Danu, Miguel Rodr\'iguez-Ortega, Alberto Becerra-Tome, Pablo Arancibia, Fernando Gallego-Donoso, Lorenzo Pratesi, Xi Bai, Andrei-Damian Dinescu, Salvador Lima-L\'opez, Andrea Guala, Saskia Haitjema, Jonas Mack, Michele Miranda, Wesam Al N… ·

    CardioLM: A multilingual suite of small language models for the cardiology domain

    arXiv:2611.07940v1 Announce Type: cross Abstract: Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain concentrated in English, and no existing benchmar…

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