2023
Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics
Liang L, Liu M, Elefteriades J, Sun W. Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics. Computer Methods In Applied Mechanics And Engineering 2023, 416: 116347. PMID: 38370344, PMCID: PMC10871671, DOI: 10.1016/j.cma.2023.116347.Peer-Reviewed Original ResearchFinite element methodInverse problemPhysics-informed loss functionTime-sensitive clinical applicationsTraditional finite element methodElement methodMaterial parameter identificationForward problemSurrogate modelParameter identificationEquilibrium equationsOptimal solutionDNN solutionsTest casesOutput mappingParameter identification accuracyNeural networkDeep neural networksNon-negligible errorsFEM frameworkPatient-specific geometryFinite element analysisInverse methodInverse approachForward modelLearning strategy impacts medical diagnostic reasoning in early learners
Sheldon S, Fan C, Uner I, Young M. Learning strategy impacts medical diagnostic reasoning in early learners. Cognitive Research: Principles And Implications 2023, 8: 17. PMID: 36892746, PMCID: PMC9998823, DOI: 10.1186/s41235-023-00472-3.Peer-Reviewed Original ResearchConceptsTransfer of learningDiagnostic labelsUndergraduate student participantsNonsense wordsPsychiatric diagnosisMedical diagnostic reasoningExperiment 2Symptom listPsychological researchTask performanceDiagnostic reasoningLearning strategiesRetrieval strategyParticipant groupsSymptom descriptionsExpert reasoningExpert developersLearned informationEarly learnersFostering transferDiagnostic decisionsSymptomsParticipantsTest casesLearningIntegrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation
Yu Y, Jiang G, Brandt E, Forsyth T, Dhruva S, Zhang S, Chen J, Noseworthy P, Doshi A, Collison-Farr K, Kim D, Ross J, Coplan P, Drozda J. Integrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation. JAMIA Open 2023, 6: ooac108. PMID: 36632328, PMCID: PMC9831049, DOI: 10.1093/jamiaopen/ooac108.Peer-Reviewed Original ResearchOMOP Common Data ModelCommon data modelData modelMedical device dataObservational Medical Outcomes Partnership Common Data ModelReal-world dataReal-world evaluationData integrationMultiple healthcare systemsData transformationHealthcare systemElectronic health record dataDevice dataData sourcesChain databaseLoad processHealth record dataTest casesMercy HealthQA analysisMulticenter studyMayo ClinicPatient outcomesPatient encountersDevice outcomes
2012
SU‐E‐T‐92: on the Use of High‐Sensitivity Thermoluminescent Dosimeters (TLDs) for Dosimetric Characterization of Low‐Energy Brachytherapy Sources
Chen Z, Bongiorni P, Donahue W, Hearn R, Rodgers J, Nath R. SU‐E‐T‐92: on the Use of High‐Sensitivity Thermoluminescent Dosimeters (TLDs) for Dosimetric Characterization of Low‐Energy Brachytherapy Sources. Medical Physics 2012, 39: 3723-3723. PMID: 28517162, DOI: 10.1118/1.4735149.Peer-Reviewed Original ResearchRoom temperatureTLD-100HIrradiation timeThermal reservoirReservoir systemLow-energy brachytherapy sourcesDosimetric characterizationDosimetry characterizationAnnealingSource characterizationTLD-100Solid phantomHeatingTemperatureC heatingTest casesReservoirBrachytherapy sourcesWater equivalent solid phantomCharacterizationCs-137 irradiator
2011
SU‐E‐T‐485: Clinical Evaluation of Inverse Planning Models and IMRT Delivery Systems in the Framework of AAPM TG‐119 Protocol
Ahmad M, Liu W, Lund M, Moran M, Richards P, Wu D, Chen Z, Deng J, Nath R. SU‐E‐T‐485: Clinical Evaluation of Inverse Planning Models and IMRT Delivery Systems in the Framework of AAPM TG‐119 Protocol. Medical Physics 2011, 38: 3600-3600. DOI: 10.1118/1.3612438.Peer-Reviewed Original Research
2010
Automating pressure ulcer risk assessment using documented patient data
Kim H, Choi J, Thompson S, Meeker L, Dykes P, Goldsmith D, Ohno-Machado L. Automating pressure ulcer risk assessment using documented patient data. International Journal Of Medical Informatics 2010, 79: 840-848. PMID: 20869303, DOI: 10.1016/j.ijmedinf.2010.08.005.Peer-Reviewed Original ResearchAn automated approach to calculating the daily dose of tacrolimus in electronic health records.
Xu H, Doan S, Birdwell K, Cowan J, Vincz A, Haas D, Basford M, Denny J. An automated approach to calculating the daily dose of tacrolimus in electronic health records. AMIA Joint Summits On Translational Science Proceedings 2010, 2010: 71-5. PMID: 21347153, PMCID: PMC3041548.Peer-Reviewed Original ResearchElectronic health recordsUnstructured clinical dataNatural language processingHealth recordsTime-consuming taskUnstructured formatClinical textLanguage processingAutomated ApproachDaily doseData setsTest casesDetailed drug informationDrug mentionsDaily dosesClinical dataMedication informationClinical researchMedication namesDrug informationInformationTacrolimusMedicationsDoseTask
2007
Fine‐needle aspiration of follicular adenoma versus parathyroid adenoma
Mansoor I, Zalles C, Zahid F, Gossage K, Levenson RM, Rimm DL. Fine‐needle aspiration of follicular adenoma versus parathyroid adenoma. Cancer 2007, 114: 22-26. PMID: 18085636, DOI: 10.1002/cncr.23252.Peer-Reviewed Original ResearchConceptsArtificial intelligence systemsSpatial-spectral featuresSpectral image informationMultispectral image analysisIntelligence systemsImage informationAlgorithmic solutionTraining setImage stacksImaging solutionImage analysisTest casesHuman eyeImagesClassifierSoftwareToolPlatformSolutionTechnologyInformationSet
2003
Wavelet Compression of Low-Dose Chest CT Data: Effect on Lung Nodule Detection
Ko JP, Rusinek H, Naidich DP, McGuinness G, Rubinowitz AN, Leitman BS, Martino JM. Wavelet Compression of Low-Dose Chest CT Data: Effect on Lung Nodule Detection. Radiology 2003, 228: 70-5. PMID: 12775850, DOI: 10.1148/radiol.2281020254.Peer-Reviewed Original ResearchConceptsNodule detectionJoint Photographic Experts Group (JPEG) standardImage compression technologyWavelet image compressionLung CT dataLung nodule detectionPulmonary nodule detectionImage compressionJPEG2000 methodChest CT dataCompression technologyCT dataWavelet compressionCompression rateCase imagesCompression levelsAz valuesTest casesImages
1999
Ligand binding on ladder lattices
Kong Y. Ligand binding on ladder lattices. Biophysical Chemistry 1999, 81: 7-21. PMID: 17030328, DOI: 10.1016/s0301-4622(99)00078-2.Peer-Reviewed Original ResearchPartition functionLinear ladderTwo-dimensional laddersCases explicit formulasClosed-form formulaClosed-form expressionsTransfer matrix methodLadder latticeOne-dimensional modelExplicit formulaAnalytical solutionTwo-dimensional modelRecurrence relationsMatrix methodNumerical resultsGeneral situationGeneral relationGeneral methodEnd slopeTest casesExperimental dataFormulaModelLongitudinal direction
1998
Tools for Immunization Guideline Knowledge Maintenance II. Automated Web-Based Generation of User-Customized Test Cases
Miller P, Frawley S, Brandt C, Sayward F. Tools for Immunization Guideline Knowledge Maintenance II. Automated Web-Based Generation of User-Customized Test Cases. Journal Of Biomedical Informatics 1998, 31: 190-208. PMID: 9628750, DOI: 10.1006/cbmr.1998.1471.Peer-Reviewed Original Research
1997
A prototype Web site for immunization knowledge maintenance.
Miller P, Frawley S, Brandt C, Sayward F. A prototype Web site for immunization knowledge maintenance. AMIA Annual Symposium Proceedings 1997, 293-7. PMID: 9357635, PMCID: PMC2233449.Peer-Reviewed Original ResearchConceptsPrototype Web siteDomain knowledgeWeb sitesComputer-based clinical guidelineWorld Wide WebIMM/ServeRule-based formTest casesIMM/Web projectsKnowledge maintenanceNew versionChild's immunization historyWebForecasting programForecasting parametersCustomizingOrganized fashionLogicVersionForecastingKnowledgeProject
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