2025
Alone in the Dark: Medical Malpractice Stress Syndrome and Implications for Radiologists.
Mezrich J. Alone in the Dark: Medical Malpractice Stress Syndrome and Implications for Radiologists. American Journal Of Roentgenology 2025 PMID: 40532172, DOI: 10.2214/ajr.25.33290.Peer-Reviewed Original ResearchGenerative Artificial Intelligence in Clinical Medicine and Impact on Gastroenterology
Soroush A, Giuffrè M, Chung S, Shung D. Generative Artificial Intelligence in Clinical Medicine and Impact on Gastroenterology. Gastroenterology 2025 PMID: 40245953, DOI: 10.1053/j.gastro.2025.03.038.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsArtificial intelligenceTraditional machine learning approachesHuman-algorithm interactionsMachine learning approachData privacyGenerative artificial intelligenceAdministrative tasksGenerative AIEndoscopic videosMultiple tasksData modalitiesLearning approachTabular dataOutput reliabilityEffective deploymentInformation flowClinical documentationTaskInformation tasksIntelligenceRelevance to clinical carePotential solutionsSummarizationHealth carePatient education
2024
Geriatric Emergency Departments
Hwang U, Dresden S, Southerland L, Meldon S. Geriatric Emergency Departments. 2024, 231-237. DOI: 10.1007/978-3-031-56204-4_24.Peer-Reviewed Original Research
2023
Society 5.0 Healthcare: Ethics, Legal Rights, Human Rights, Safety and Security
Blenman K, Hull R, Maimela C, Molefi T, Khanyile R, Dlamini Z. Society 5.0 Healthcare: Ethics, Legal Rights, Human Rights, Safety and Security. 2023, 267-291. DOI: 10.1007/978-3-031-36461-7_12.Peer-Reviewed Original ResearchArtificial intelligenceInvasion of privacySmart digital technologiesViolation of privacyOutdated datasetsMobile devicesAI workPatient dataPrivacyNew technologiesVariety of solutionsDigital technologiesBiased dataLow resourcesGathering of informationLack of transparencySociety 5.0Intellectual propertyTechnologyDecision-making processMedical devicesPotential solutionsEase of analysisData collectionGatheringThe challenges and prospects of brain-based prediction of behaviour
Wu J, Li J, Eickhoff S, Scheinost D, Genon S. The challenges and prospects of brain-based prediction of behaviour. Nature Human Behaviour 2023, 7: 1255-1264. PMID: 37524932, DOI: 10.1038/s41562-023-01670-1.Peer-Reviewed Original ResearchConceptsInterindividual differencesIndividual brain patternsNeural correlatesBehavioral measuresBrain patternsSystems neuroscienceConceptual limitationsLarge open datasetData-driven fashionNeuroscienceBrain levelsComputational resourcesOpen datasetsPredictive modelling approachCorrelatesMindBehaviorMeasuresPredictive modellingModelling approachDifferencesPotential solutionsThe IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era
Wen A, He H, Fu S, Liu S, Miller K, Wang L, Roberts K, Bedrick S, Hersh W, Liu H. The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era. Npj Digital Medicine 2023, 6: 132. PMID: 37479735, PMCID: PMC10362064, DOI: 10.1038/s41746-023-00878-9.Peer-Reviewed Original ResearchAlgorithm development processEase of adoptionDigital health applicationsSoftware applicationsPhenotyping tasksExample implementationInterested usersReusable toolsManual abstractionSuch tasksDevelopment processHealth applicationsDigital eraFoundational requirementCost requirementsTaskImplementationSilico meansFrameworkPotential solutionsRequirementsUsersDatasetAbstractionApplications
2020
Reducing ECG Artifact From Left Ventricular Assist Device Electromagnetic Interference
Loring Z, Sen S, Black-Maier E, Atwater BD, Russell SD, DeVore AD, Piccini JP. Reducing ECG Artifact From Left Ventricular Assist Device Electromagnetic Interference. Journal Of The American Heart Association 2020, 9: e017563. PMID: 32787630, PMCID: PMC7660795, DOI: 10.1161/jaha.120.017563.Peer-Reviewed Original ResearchConceptsHeartMate 3 LVADElectromagnetic interferenceRotational speedBandstop filterLow-pass filterHigh-frequency signal componentsImpeller rotationFrequency peakFast Fourier transformWaveform dataSignal componentsLeft ventricular assist deviceFourier transformFilterECG artifactsSignal peaksNoise artifactsDevicesSpeedVentricular assist devicePotential solutionsAssist deviceAdditional peaksInterferenceFrequency
2019
Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization
Onofrey JA, Casetti-Dinescu DI, Lauritzen AD, Sarkar S, Venkataraman R, Fan RE, Sonn GA, Sprenkle PC, Staib LH, Papademetris X. Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2019, 00: 348-351. PMID: 32874427, PMCID: PMC7457546, DOI: 10.1109/isbi.2019.8759295.Peer-Reviewed Original ResearchDeep neural networksNeural networkDeep learning algorithmsProstate gland segmentationImage normalization methodGland segmentationLearning algorithmImage normalizationMulti-site dataIntensity normalization methodNormalization methodSingle-site dataAlgorithmNetworkPotential solutionsEquipment sourcesClinical adoptionSegmentationTrainingIntensity characteristicsRobustnessDataSite trainingMethodAdoption
2018
Feasibility, Acceptability, and Adoption of Digital Fingerprinting During Contact Investigation for Tuberculosis in Kampala, Uganda: A Parallel-Convergent Mixed-Methods Analysis
White EB, Meyer AJ, Ggita JM, Babirye D, Mark D, Ayakaka I, Haberer JE, Katamba A, Armstrong-Hough M, Davis JL. Feasibility, Acceptability, and Adoption of Digital Fingerprinting During Contact Investigation for Tuberculosis in Kampala, Uganda: A Parallel-Convergent Mixed-Methods Analysis. Journal Of Medical Internet Research 2018, 20: e11541. PMID: 30442637, PMCID: PMC6265600, DOI: 10.2196/11541.Peer-Reviewed Original ResearchConceptsTechnology Acceptance Model 2Digital fingerprintingDigital fingerprintUnique patient identificationData integrityFingerprint captureSoftware leadFingerprint scannerPatient identificationHardware failureDigital technologiesBiometricsModest clusteringClusteringSocial imageTechnologyHousehold tuberculosis contact investigationRobust covariance estimatorPotential solutionsActual useGuide improvementFrameworkHardwareIndividual identificationTemporal characteristics
2016
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang S, Jiang X, Singh S, Marmor R, Bonomi L, Fox D, Dow M, Ohno‐Machado L. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals Of The New York Academy Of Sciences 2016, 1387: 73-83. PMID: 27681358, PMCID: PMC5266631, DOI: 10.1111/nyas.13259.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData privacySensitive individual informationComputer science communityReal-world problemsUnauthorized partiesHuman genomic dataPrivacy breachesData accessData sharingData accessibilityConfidentiality protectionGenomic dataSpectrum of techniquesIndividual informationPrivacyScience communityPhenotype informationTechnical approachPotential solutionsCurrent common practiceBiomedical researchResearch purposesConfidentialityInformationSharing
2013
Identifying inference attacks against healthcare data repositories.
Vaidya J, Shafiq B, Jiang X, Ohno-Machado L. Identifying inference attacks against healthcare data repositories. AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 262-6. PMID: 24303279, PMCID: PMC3845790.Peer-Reviewed Original Research
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply