2018
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
Tajmir S, Lee H, Shailam R, Gale H, Nguyen J, Westra S, Lim R, Yune S, Gee M, Do S. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiology 2018, 48: 275-283. PMID: 30069585, DOI: 10.1007/s00256-018-3033-2.Peer-Reviewed Original ResearchConceptsBone age assessmentAutomated artificial intelligenceAI assistanceBone age radiographsConvolutional neural networkDeep learning algorithmsRoot mean square errorMean square errorPediatric radiologistsUtilization of AILearning algorithmsNeural networkArtificial intelligenceIntraclass correlation coefficientImproved performancePooled cohortRadiologist interpretationImaging studiesInter-rater variationAccuracyMetabolic disordersIncreased accuracyRadiologistsAge accuracyMeasures of accuracy
2016
Imaging the Pediatric Urinary Tract
Traubici J, Lim R. Imaging the Pediatric Urinary Tract. 2016, 3-47. DOI: 10.1007/978-3-662-52972-0_1.Peer-Reviewed Original ResearchUrinary tractWork-up of patientsPediatric urinary tractUrinary tract imagingMagnetic resonance imagingPediatric patientsDifferential diagnosisExcretory urographyComputed tomographyFollow-upAcquired diseasesWork-upContrast fluoroscopyUrinary systemImaging studiesResonance imagingPatientsDiagnosisModalitiesDiseaseTractScintigraphyUrographyFluoroscopySonography