2024
An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
Njei B, Osta E, Njei N, Al-Ajlouni Y, Lim J. An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis. Scientific Reports 2024, 14: 8589. PMID: 38615137, PMCID: PMC11016071, DOI: 10.1038/s41598-024-59183-4.Peer-Reviewed Original ResearchMeSH KeywordsAdultArtificial IntelligenceElasticity Imaging TechniquesHumansMachine LearningNon-alcoholic Fatty Liver DiseaseNutrition SurveysConceptsNational Health and Nutrition Examination SurveyRisk of progression to cirrhosisClinical risk indexHealth and Nutrition Examination SurveyControlled attenuation parameter valuesNovel therapeutic optionsLiver stiffness measurementProgression to cirrhosisAspartate aminotransferase levelsNutrition Examination SurveyResource-limited settingsFIB-4Fibrosis scorePlatelet countAminotransferase levelsTherapeutic optionsWaist circumferenceClinically applicable modelExamination SurveyNonalcoholic steatohepatitisFAST scoreEarly identificationElastography measurementsStiffness measurementPatients
2017
American Gastroenterological Association Institute Guideline on the Role of Elastography in the Evaluation of Liver Fibrosis
Lim JK, Flamm SL, Singh S, Falck-Ytter YT, Association C, Gerson L, Hirano I, Nguyen G, Rubenstein J, Smalley W, Stollman N, Sultan S, Vege S, Wani S, Weinberg D, Yang Y. American Gastroenterological Association Institute Guideline on the Role of Elastography in the Evaluation of Liver Fibrosis. Gastroenterology 2017, 152: 1536-1543. PMID: 28442119, DOI: 10.1053/j.gastro.2017.03.017.Peer-Reviewed Original ResearchMeSH KeywordsConsensusElasticity Imaging TechniquesEvidence-Based MedicineGastroenterologyHumansLiver CirrhosisPredictive Value of TestsPrognosisSocieties, MedicalUnited States