Artificial Intelligence to Improve Patient Understanding of Radiology Reports
Amin K, Khosla P, Doshi R, Chheang S, Forman H. Artificial Intelligence to Improve Patient Understanding of Radiology Reports. The Yale Journal Of Biology And Medicine 2023, 96: 407-417. PMID: 37780992, PMCID: PMC10524809, DOI: 10.59249/nkoy5498.Peer-Reviewed Original ResearchConceptsLarge language modelsArtificial intelligenceNatural language processing technologyLanguage processing technologyPhone numberAI technologyRadiology reportsRadiologist workflowLanguage modelQuick accessProcessing technologyIntelligenceDiagnostic imaging reportsNascent technologyFocused solutionsTechnologySignificant researchTechnical detailsCentury Cures ActResearch purposesAccurate communicationImaging reportsTarget audienceWorkflowCures ActClinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting
Cavallo J, de Oliveira Santo I, Mezrich J, Forman H. Clinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting. Journal Of The American College Of Radiology 2023, 20: 438-445. PMID: 36736547, DOI: 10.1016/j.jacr.2022.12.016.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceEmergency Service, HospitalHumansLung NeoplasmsMultiple Pulmonary NodulesNatural Language ProcessingTomography, X-Ray ComputedConceptsEmergency department settingPulmonary nodulesCT examinationsDepartment settingSecondary reviewNumber of patientsQuality assurance studyMedian timeEmergent settingPatient followImaging recommendationsAppropriate followMajority of reviewsRadiological reportsAssurance studyClinical implementationLung anatomyQuality assurance programPatientsSignificant delayNodulesFollowExaminationPulmonary nodule detectionNodule detection