2023
Detection of Large-Droplet Macrovesicular Steatosis in Donor Livers Based on Segment-Anything Model
Tang H, Jiao J, Lin J, Zhang X, Sun N. Detection of Large-Droplet Macrovesicular Steatosis in Donor Livers Based on Segment-Anything Model. Laboratory Investigation 2023, 104: 100288. PMID: 37977550, DOI: 10.1016/j.labinv.2023.100288.Peer-Reviewed Original ResearchLiver diseaseMacrovesicular steatosisArtificial intelligence algorithmsArtificial intelligence modelsEnd-stage liver diseaseRule-based algorithmLiver histology analysisLiver transplant complicationsAcute liver failurePrimary hepatic malignancyLarge fat vacuolesIntelligence algorithmsDetection modelTransformer architectureIntelligence modelsTransplant complicationsLiver transplantationLiver failureLiver biopsyHepatic malignanciesFat vacuolesDonor organsEffective treatmentPrior knowledgeAlgorithmValue Proposition of FDA-Approved Artificial Intelligence Algorithms for Neuroimaging
Bajaj S, Khunte M, Moily N, Payabvash S, Wintermark M, Gandhi D, Malhotra A. Value Proposition of FDA-Approved Artificial Intelligence Algorithms for Neuroimaging. Journal Of The American College Of Radiology 2023, 20: 1241-1249. PMID: 37574094, DOI: 10.1016/j.jacr.2023.06.034.Peer-Reviewed Original ResearchConceptsArtificial intelligence algorithmsAI algorithmsIntelligence algorithmsValue propositionUser timeAI developersMost vendorsProduct informationDevelopersAlgorithmVendorsProduct websitesDeveloper websitesWebsitesUser testimonialsCentral databaseTechnologyDatabaseInformationAIDevicesAdoptionPropositionCost
2022
Nudging within learning health systems: next generation decision support to improve cardiovascular care
Chen Y, Harris S, Rogers Y, Ahmad T, Asselbergs FW. Nudging within learning health systems: next generation decision support to improve cardiovascular care. European Heart Journal 2022, 43: 1296-1306. PMID: 35139182, PMCID: PMC8971005, DOI: 10.1093/eurheartj/ehac030.Peer-Reviewed Original ResearchConceptsClinical decision support systemElectronic health recordsEvidence-practice gapArtificial intelligence algorithmsDecision support systemPatient outcomesClinical practiceIntelligence algorithmsHealthcare dataHealth systemGuideline-directed therapyActionable insightsDecision supportRoutine clinical practiceSupport systemHealth recordsRobust evidence baseClinical equipoiseCardiovascular careCDSS alertsClinician behaviorEvidence baseAlertsFace of uncertaintyOutcomes
2019
Applications of artificial intelligence in neuro-oncology.
Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Current Opinion In Neurology 2019, 32: 850-856. PMID: 31609739, DOI: 10.1097/wco.0000000000000761.Peer-Reviewed Original ResearchConceptsArtificial intelligenceArtificial intelligence algorithmsNatural language processingAmount of dataIntelligence algorithmsLanguage processingIntelligenceNeuro-oncologyImage analysisApplicationsAlgorithmRisk stratificationFuture innovationsTreatment responseBrain tumorsClinical practiceClassificationRecent applicationsProcessingSignificant promiseChallengesDetection
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply