Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System
Rajashekar N, Shin Y, Pu Y, Chung S, You K, Giuffre M, Chan C, Saarinen T, Hsiao A, Sekhon J, Wong A, Evans L, Kizilcec R, Laine L, Mccall T, Shung D. Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. 2024, 1-20. DOI: 10.1145/3613904.3642024.Peer-Reviewed Original ResearchClinical decision support systemsHuman-computer interactionDecision support systemArtificial intelligenceAI-CDSSIntelligent clinical decision support systemSupport systemIntegration of artificial intelligenceHuman-algorithm interactionsEase-of-useLanguage modelHuman algorithmAI systemsSocio-technological challengesHealth-care providersMedical student participationQualitative themesClinical simulationClinical expertiseUpper gastrointestinal bleedingUsabilityBorderline decisionsLanguageClinical intuitionTrustOptimization 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 textsAccuracy