2024
Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer
Moore N, Laird J, Verma N, Hager T, Sritharan D, Lee V, Maresca R, Chadha S, Park H, Aneja S. Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e644. DOI: 10.1016/j.ijrobp.2024.07.1417.Peer-Reviewed Original ResearchNon-small cell lung cancerOligometastatic diseaseCell lung cancerRadiologic impressionTumor RegistryTest cohortOligometastatic non-small cell lung cancerIV non-small cell lung cancerStage IV non-small cell lung cancerLung cancerConvolutional neural networkMetastasis-directed therapyOligometastatic NSCLC patientsMonths of diagnosisLanguage modelClinician reviewNSCLC patientsPatient cohortClinical dataScreening patientsSubgroup analysisBrain MRIClinical textBurden of diseaseClinical relevance
1998
Impact of filmless imaging on the frequency of clinician review of radiology images
Reiner B, Siegel E, Hooper F, Protopapas Z. Impact of filmless imaging on the frequency of clinician review of radiology images. Journal Of Imaging Informatics In Medicine 1998, 11: 149-150. PMID: 9735455, PMCID: PMC3453391, DOI: 10.1007/bf03168288.Peer-Reviewed Original ResearchConceptsIntensive care unitBaltimore VA Medical CenterClinicians' perceptionsPatient carePercent of cliniciansVA Medical CenterOverall patient careCare unitClinicians' estimatesMedical CenterPhysician preferenceClinician reviewCliniciansSignificant increaseRadiology imagesHospitalObjective measurementsImage reviewCareUse of PACSTurnaround timeReport turnaround timeReviewAverage number
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