Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
机构 * Department of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands(荷兰埃因霍温麦斯特大学医学中心放射科和核医学科,埃因霍温麦斯特癌症研究所) ; Department of Pathology and Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands(荷兰埃因霍温麦斯特大学医学中心病理学与临床生物信息学科,埃因霍温麦斯特癌症研究所) ; Faculty of Informatics, Masaryk University(马萨里克大学信息学院) ; Institute of Computer Science, Masaryk University(马萨里克大学计算机科学研究所) ; Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, UK(英国利兹教学医院国家卫生服务信托基金,利兹大学生物医学研究中心) ; Leeds Biomedical Research Centre, University of Leeds, UK(利兹大学生物医学成像科,利兹,英国) ; Biomedical Imaging, University of Leeds, Leeds, United Kingdom(荷兰埃因霍温麦斯特大学医学中心外科肿瘤学和胃肠外科科,埃因霍温麦斯特癌症研究所) ; Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam, the Netherlands(奥地利格拉茨BBMRI-ERIC机构) ; BBMRI-ERIC, Graz, Austria(荷兰埃因霍温麦斯特大学医学中心流行病学系,罗特万,荷兰) ; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands(马萨里克纪念癌症研究所生物信息学研究组) ; Bioinformatics Research Group, Masaryk Memorial Cancer Institute
专题命中 领域大模型 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL、cs.AI