2025
Identifying Metabolic Dysfunction Associated Steatotic Liver Disease Using Natural Language Processing in a U.S National Cohort
John B, Bastaich D, Mezcappa C, Ferreira R, Hentschel A, Samos A, Mahmud N, Taddei T, Kaplan D, Serper M, Dahman B. Identifying Metabolic Dysfunction Associated Steatotic Liver Disease Using Natural Language Processing in a U.S National Cohort. The American Journal Of Gastroenterology 2025 DOI: 10.14309/ajg.0000000000003321.Peer-Reviewed Original ResearchElectronic health recordsCardiometabolic risk factorsAlcohol useChart reviewRetrospective study of participantsStudy of participantsLiver diseaseSteatotic liver diseaseIncreased alcohol intakeEligible veteransICD-9/10 codesHealth recordsNational cohortAlcohol intakeEvidence of hepatic steatosisEpidemiological studiesNatural language processing algorithmsRisk factorsStudy cohortOutcome studiesVeteransCohortClinical entityRetrospective studyMetabolic dysfunction
2024
Identification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reports