2024
A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence
Tran A, Desser D, Zeevi T, Abou Karam G, Dierksen F, Dell'Orco A, Kniep H, Hanning U, Fiehler J, Zietz J, Sanelli P, Malhotra A, Duncan J, Aneja S, Falcone G, Qureshi A, Sheth K, Nawabi J, Payabvash S. A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence. Bioengineering 2024, 11: 1274. PMID: 39768092, PMCID: PMC11672977, DOI: 10.3390/bioengineering11121274.Peer-Reviewed Original ResearchNon-contrast head computed tomographyPerihematomal edemaHead computed tomographyIntracerebral hemorrhageComputed tomographyVolume similarityUniversity Medical Center Hamburg-EppendorfSecondary brain injuryYale cohortInfratentorial locationMulticentre trialCT scanTreatment planningNon-contrastHamburg-EppendorfImaging markersHemorrhagic strokeHemorrhageEdemaCohortBrain injuryDice coefficient7029 Changes In Adrenal Gland Size Seen By Linear Assessment On Routine Abdominal CT During Critical Illness
Vangipuram D, Bhagat N, Borkar R, Mazengia N, Williams S, Majumdar S. 7029 Changes In Adrenal Gland Size Seen By Linear Assessment On Routine Abdominal CT During Critical Illness. Journal Of The Endocrine Society 2024, 8: bvae163.133. PMCID: PMC11454092, DOI: 10.1210/jendso/bvae163.133.Peer-Reviewed Original ResearchIntensive care unit admissionIntensive care unitAdrenal gland volumeAdrenal gland sizeAdrenal glandAdrenocorticotropic hormoneCritical illnessGland volumeGland sizeIncreased adrenal blood flowContrast CT scanLeft adrenal glandHypothalamus-pituitary-adrenal (HPA) axisAdrenal blood flowStatistically significant decreaseAbdominal CTRetrospective studyAdult patientsCT scanSeptic shockControl patientsPituitary glandNon-contrastCare unitVolumetric evaluationUsing an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels
Warman P, Warman A, Warman R, Degnan A, Blickman J, Smith D, McHale P, Coburn Z, McCormick S, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G. Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels. Emergency Medicine Journal 2024, 41: 298-303. PMID: 38233106, DOI: 10.1136/emermed-2023-213158.Peer-Reviewed Original ResearchCranial CT scanEmergency physiciansIntracranial haemorrhageBoard-certified emergency physiciansCT scanYears of practice experienceNon-contrast cranial CT scansED physiciansClinical careImaging ReportingEP cohortArtificial intelligenceReader accuracyNon-contrastPatient outcomesRadiologistsRandom orderPhysiciansPatientsCohort
2018
Concurrent aero-tactile stimulation does not bias perception of VOT for non-initial stops
Goldenberg D, Tiede M, Whalen D. Concurrent aero-tactile stimulation does not bias perception of VOT for non-initial stops. The Journal Of The Acoustical Society Of America 2018, 144: 1801-1801. DOI: 10.1121/1.5067950.Peer-Reviewed Original Research
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