2022
Artificial intelligence for nuclear medicine in oncology
Hirata K, Sugimori H, Fujima N, Toyonaga T, Kudo K. Artificial intelligence for nuclear medicine in oncology. Annals Of Nuclear Medicine 2022, 36: 123-132. PMID: 35028877, DOI: 10.1007/s12149-021-01693-6.Peer-Reviewed Original ResearchConceptsArtificial intelligenceComputer-aided detectionComputer-aided diagnosisImage generation tasksBlack box explanationDeep learningAssisted interpretationNuclear medicine imagesMedicine imagesGeneration taskMedical fieldLow spatial resolutionIntelligenceImagesHigh quantitativenessRadiologist’s eyePractical useTaskLearningViewpointInformationRadiogenomicsDetection
2014
Evolution of Breast Cancer Screening in the Medicare Population: Clinical and Economic Implications
Killelea BK, Long JB, Chagpar AB, Ma X, Wang R, Ross JS, Gross CP. Evolution of Breast Cancer Screening in the Medicare Population: Clinical and Economic Implications. Journal Of The National Cancer Institute 2014, 106: dju159. PMID: 25031307, PMCID: PMC4155428, DOI: 10.1093/jnci/dju159.Peer-Reviewed Original ResearchConceptsEnd Results-MedicareBreast cancer stageCohort of womenEarly-stage tumorsBreast cancer screeningAdjunct imagingSignificant changesCancer screeningCancer stageIncidence rateBreast cancerAdjunct procedureOlder womenMedicare populationMedicare beneficiariesClinical practiceComputer-aided detectionPoisson regressionNational feeCohortBreast ultrasoundWomenEarlier cohortsLater cohortsMedicare spending
2013
The Cost of Breast Cancer Screening in the Medicare Population
Gross CP, Long JB, Ross JS, Abu-Khalaf MM, Wang R, Killelea BK, Gold HT, Chagpar AB, Ma X. The Cost of Breast Cancer Screening in the Medicare Population. JAMA Internal Medicine 2013, 173: 220-226. PMID: 23303200, PMCID: PMC3638736, DOI: 10.1001/jamainternmed.2013.1397.Peer-Reviewed Original ResearchConceptsBreast cancer screeningCancer screeningTreatment costsBetter breast cancer outcomesEnd Results-Medicare databaseService MedicareHigh screening costsWomen ages 66Breast cancer outcomesInitial cancer treatmentHospital referral region levelWomen 75 yearsInitial treatment costsEarly-stage cancerDigital screening mammographyCancer outcomesCancer incidenceCancer stageLowest quartileAge 66Breast cancerOlder womenMedicare populationComputer-aided detectionTreatment expenditures
2009
Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience
Helm EJ, Silva CT, Roberts HC, Manson D, Seed MT, Amaral JG, Babyn PS. Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience. Pediatric Radiology 2009, 39: 685-693. PMID: 19418048, DOI: 10.1007/s00247-009-1259-9.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsArtificial IntelligenceChildChild, PreschoolFemaleHumansLung NeoplasmsMaleObserver VariationPattern Recognition, AutomatedPilot ProjectsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySolitary Pulmonary NoduleTomography, X-Ray ComputedConceptsPediatric oncology patientsPulmonary nodulesSensitivity of CADOncology patientsPediatric patientsPrimary tumorIRB approvalPediatric radiologistsMethodsCT scansInitial experiencePatientsLung nodulesNodule sizeNodulesAvailable CAD systemPerformance of CADRadiologistsComputer-aided detectionInitial findingsLow numberRadiologists' sensitivityObjectiveToTumorsSensitivity
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply