2024
Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices
Giuffrè M, Dupont J, Visintin A, Masutti F, Monica F, You K, Shung D, Crocè L. Predicting response to non-selective beta-blockers with liver–spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices. Hepatology International 2024, 1-12. PMID: 38664292, DOI: 10.1007/s12072-024-10649-7.Peer-Reviewed Original ResearchHigh-risk varicesHepatic venous pressure gradientLiver stiffnessLiver cirrhosisSpleen stiffnessVariceal gradeHeart rateCohort of cirrhotic patientsNon-selective beta-blockersPercentual decreaseAssessed therapeutic responseMultivariate modelVenous pressure gradientCut-off valueOptimal cut-offAssociated with better predictionNSBB treatmentPrimary prophylaxisHemorrhagic episodesCirrhotic patientsTherapeutic responseBeta-blockersNSBBTreatment initiationProspective studyOptimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
Kresevic S, Giuffrè M, Ajcevic M, Accardo A, Crocè L, Shung D. Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. Npj Digital Medicine 2024, 7: 102. PMID: 38654102, PMCID: PMC11039454, DOI: 10.1038/s41746-024-01091-y.Peer-Reviewed Original ResearchClinical decision support systemsFew-shot learningLanguage modelImprove clinical decision support systemsDecision support systemText similarity scoresText similarityAblation studiesImprove overall accuracyGeneration accuracyRight informationAccurate outputSupport systemTransform healthcareIncreasing levels of complexityHospital workflowOverall accuracyRight providerTurbo modelLearning strategiesLevel of complexityLearningRetrievalCorpus of textsAccuracyScrutinizing ChatGPT Applications in Gastroenterology: A Call for Methodological Rigor to Define Accuracy and Preserve Privacy
Giuffrè M, Shung D. Scrutinizing ChatGPT Applications in Gastroenterology: A Call for Methodological Rigor to Define Accuracy and Preserve Privacy. Clinical Gastroenterology And Hepatology 2024 PMID: 38311148, DOI: 10.1016/j.cgh.2024.01.024.Peer-Reviewed Original Research
2023
Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies
Giuffrè M, You K, Shung D. Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies. Clinical Gastroenterology And Hepatology 2023, 22: 1145-1146. PMID: 37863408, DOI: 10.1016/j.cgh.2023.09.035.Peer-Reviewed Original ResearchHarnessing the power of synthetic data in healthcare: innovation, application, and privacy
Giuffrè M, Shung D. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. Npj Digital Medicine 2023, 6: 186. PMID: 37813960, PMCID: PMC10562365, DOI: 10.1038/s41746-023-00927-3.Peer-Reviewed Original ResearchDifferential privacySynthetic dataPredictive analyticsReal-world healthcare applicationDigital twin technologyData privacyData integrityPrivacy concernsTwin technologyData misuseHealthcare applicationsPrivacyData biasDifferent applicationsData qualityAnalyticsAlgorithmic tradingAnalytic contextApplicationsHealthcareTraceabilityDatasetEmergent fieldPropose strategiesPortfolio optimization