2022
Physician Preferences on Bone Age Determination for Anterior Cruciate Ligament (ACL) Reconstructions for Pediatric Patients with Acl Injuries
Nice E, Franklin C, Heidel E, Consortium S, Uquillas C. Physician Preferences on Bone Age Determination for Anterior Cruciate Ligament (ACL) Reconstructions for Pediatric Patients with Acl Injuries. Orthopaedic Journal Of Sports Medicine 2022, 10: 2325967121s00524. PMCID: PMC9125600, DOI: 10.1177/2325967121s00524.Peer-Reviewed Original ResearchAdolescent patientsBone ageBone age radiographsHand bone ageACL injuryPhysician preferenceEvaluate physician preferencesSkeletal ageAnterior cruciate ligament (ACL) reconstructionAging StudyTreatment of ACL injuriesSkeletally Immature PatientsPatient's skeletal ageSports medicine fellowshipsAnterior cruciate ligament (ACL) injuryPediatric orthopaedic fellowshipsYears of ageBone age determinationPatients 8Pediatric patientsACL tearsImmature patientsGreulich-Pyle methodTreatment planningACL reconstruction
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
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