2024
Systematic review: The use of large language models as medical chatbots in digestive diseases
Giuffrè M, Kresevic S, You K, Dupont J, Huebner J, Grimshaw A, Shung D. Systematic review: The use of large language models as medical chatbots in digestive diseases. Alimentary Pharmacology & Therapeutics 2024, 60: 144-166. PMID: 38798194, DOI: 10.1111/apt.18058.Peer-Reviewed Original ResearchLanguage modelAdverse patient safety eventsPatient safety eventsClinical decision supportRisk of biasSystematic literature searchWeb of Science Core CollectionCombination of keywordsMedical chatbotTriage recommendationsHealthcare systemScience Core CollectionNecessary careSafety eventsOverburden healthcare systemsMedical adviceOvid MEDLINEMultiple specialtiesDecision supportOvid EmbaseCochrane LibrarySingle-study resultsGoogle ScholarLiterature searchGastroenterology
2019
Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review
Shung D, Simonov M, Gentry M, Au B, Laine L. Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases And Sciences 2019, 64: 2078-2087. PMID: 31055722, DOI: 10.1007/s10620-019-05645-z.Peer-Reviewed Original ResearchConceptsClinical risk scoreUpper gastrointestinal bleedingGastrointestinal bleedingOutcomes of mortalityRisk scoreSystematic reviewOvert gastrointestinal bleedingAcute gastrointestinal bleedingPrognosis Studies toolRisk of biasFull-text studiesCurrent risk assessment toolsRisk assessment toolHospital stayHemostatic interventionRisk stratificationInclusion criteriaPrognostic performanceHigh riskIndependent reviewersConference abstractsLower riskMedian AUCPatientsMortality