2024
Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure
Baloescu C, Chen A, Varasteh A, Hall J, Toporek G, Patil S, McNamara R, Raju B, Moore C. Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure. The Ultrasound Journal 2024, 16: 42. PMID: 39283362, PMCID: PMC11405569, DOI: 10.1186/s13089-024-00391-4.Peer-Reviewed Original ResearchB-line scoreComposite congestion scoreCongestion scoreHeart failureSeverity scoreB-linesCongestive heart failurePatients suspectedPulmonary congestionLung zonesClinical progressionRothman IndexClinical assessmentDisease severityPatientsPresence of artifactsEvaluate changesLungDetect fluidUltrasound experienceMixed effects modelsScoresDiseaseInterstitial spaceUltrasound system
2013
Accuracy of Point-of-Care Ultrasound for Hydronephrosis in Patients With Suspected Renal Colic: A Look at Emergency Providers With Variable Ultrasound Experience
Herbst M, Rosenberg G, Daniels B, Gross C, Singh D, Molinaro A, Luty S, Moore C. Accuracy of Point-of-Care Ultrasound for Hydronephrosis in Patients With Suspected Renal Colic: A Look at Emergency Providers With Variable Ultrasound Experience. Annals Of Emergency Medicine 2013, 62: s32-s33. DOI: 10.1016/j.annemergmed.2013.07.369.Peer-Reviewed Original Research