2023
Clinical 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 ResearchConceptsEmergency 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
2024
Abbreviated MRI in the evaluation of dizziness: report turnaround times and impact on length of stay compared to CT, CTA, and conventional MRI
Tu L, Tegtmeyer K, de Oliveira Santo I, Venkatesh A, Forman H, Mahajan A, Melnick E. Abbreviated MRI in the evaluation of dizziness: report turnaround times and impact on length of stay compared to CT, CTA, and conventional MRI. Emergency Radiology 2024, 31: 705-711. PMID: 39034381, DOI: 10.1007/s10140-024-02273-7.Peer-Reviewed Original ResearchLength of stayEvaluation of dizzinessAbbreviated MRIConventional MRIMRI protocolEmergency departmentNon-contrast CT headConventional MRI protocolHead and neckPosterior circulation strokeAnalysis of length of stayTurnaround timeED length of stayCT headNo significant differenceAcute dizzinessCirculation strokeRetrospective analysisDizzinessAcute settingAssociated with greater impactMRI studiesImaging modalitiesMRIPatients
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