Featured Publications
Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities
Al-Dasuqi K, Johnson MH, Cavallo JJ. Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities. Clinical Imaging 2022, 89: 61-67. PMID: 35716432, DOI: 10.1016/j.clinimag.2022.05.010.Peer-Reviewed Original ResearchClinical 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
2024
Establishing robust governance of clinical artificial intelligence software – Why radiologists should lead
Cavallo J, Davis M. Establishing robust governance of clinical artificial intelligence software – Why radiologists should lead. Clinical Imaging 2024, 110: 110163. PMID: 38678765, DOI: 10.1016/j.clinimag.2024.110163.Peer-Reviewed Original Research