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Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke
20
Zitationen
13
Autoren
2024
Jahr
Abstract
This study highlights the potential of using LLMs for automated clinical data extraction from medical reports. Incorporating HITL annotations enhances precision and also ensures the reliability of the extracted data. This methodology presents a scalable privacy-preserving option that can significantly support clinical documentation and research endeavors.
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Autoren
Institutionen
- Centre Hospitalier Universitaire de Reims(FR)
- Charité - Universitätsmedizin Berlin(DE)
- Université de Reims Champagne-Ardenne(FR)
- Technical University of Munich(DE)
- Deutsches Herzzentrum München(DE)
- University Medical Center of the Johannes Gutenberg University Mainz(DE)
- Johannes Gutenberg University Mainz(DE)