2025
Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models
Khosravi B, Dapamede T, Li F, Chisango Z, Bikmal A, Garg S, Owosela B, Khosravi A, Chavoshi M, Trivedi H, Wyles C, Purkayastha S, Erickson B, Gichoya J. Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models. Journal Of Imaging Informatics In Medicine 2025, 1-10. PMID: 40325326, DOI: 10.1007/s10278-025-01505-7.Peer-Reviewed Original ResearchMIMIC-CXRModel sizeImage classifierHuman annotatorsLanguage modelTraining medical image analysis modelsExtract labelsMedical image analysis modelsFree-text radiology reportsPre-trained modelsTrain image classifiersImage analysis modelsFracture detectionLabel noiseClassifier performanceRadiology reportsLabeling schemaOpen-sourceFree textLarge modelsClassifierExtraction accuracyRib fracture detectionDownstream performanceAnnotation
2023
Automated Classification of Free-Text Radiology Reports: Using Different Feature Extraction Methods to Identify Fractures of the Distal Fibula
Dewald C, Balandis A, Becker L, Hinrichs J, von Falck C, Wacker F, Laser H, Gerbel S, Winther H, Apfel-Starke J. Automated Classification of Free-Text Radiology Reports: Using Different Feature Extraction Methods to Identify Fractures of the Distal Fibula. RöFo 2023, 195: 713-719. PMID: 37160146, PMCID: PMC10368466, DOI: 10.1055/a-2061-6562.Peer-Reviewed Original ResearchConceptsFeature extraction methodLatent Dirichlet AllocationNon-negative matrix factorizationSupport vector machineFree-text radiology reportsNatural language processingNeural networkAutomated classificationTF-IDFFree textBoW modelBag-of-Words (BoWText representation methodsTrained neural networkExtraction methodMachine learning pipelineDocument vectorsDocument embeddingsFree-text reportsDirichlet AllocationLearning pipelineLanguage processingRepresentation methodVector machinePrincipal component analysis
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