2025
The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis.
McCarty T, Shah R, Allencherril R, Moon N, Njei B. The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis. Journal Of Clinical Gastroenterology 2025 PMID: 39998988, DOI: 10.1097/mcg.0000000000002148.Peer-Reviewed Original ResearchConvolutional neural networkMalignant biliary stricturesAI-based systemsArtificial intelligence (AI)-based algorithmImage processing speedEndoscopic retrograde cholangiopancreatographyBiliary stricturesComputer visionPooled sensitivityNeural networkMachine learningDiagnostic performanceMeta-analysisIntelligent combinationIndeterminate biliary stricturesDiagnostic odds ratioImprove diagnostic yieldReceiver operating characteristic curveSystematic reviewOperating characteristics curveProcessing speedDiagnostic yieldRetrograde cholangiopancreatographyDiagnostic accuracyWorking group methodology
2024
Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation
Simister S, Huish E, Tsai E, Le H, Halim A, Tuason D, Meehan J, Leshikar H, Saiz A, Lum Z. Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation. Journal Of The American Academy Of Orthopaedic Surgeons 2024, 33: e348-e355. PMID: 39693540, DOI: 10.5435/jaaos-d-24-00438.Peer-Reviewed Original ResearchVariability of cortico‐cortical evoked potentials in the epileptogenic zone is related to seizure occurrence
Feys O, Wens V, Schuind S, Rikir E, Legros B, De Tiège X, Gaspard N. Variability of cortico‐cortical evoked potentials in the epileptogenic zone is related to seizure occurrence. Annals Of Clinical And Translational Neurology 2024, 11: 2645-2656. PMID: 39370736, PMCID: PMC11514933, DOI: 10.1002/acn3.52179.Peer-Reviewed Original ResearchSingle-pulse electrical stimulationEpileptogenic zoneStereo-electroencephalography recordingsStereo-electroencephalographyEpileptogenic networksReceiver operating characteristic curveCortico-corticalOperating characteristics curveOccurrence of seizuresEpileptiform dischargesSeizure frequencyEpilepsy surgerySeizuresSeizure occurrenceCharacteristic curveSpearman correlationElectrical stimulationTime courseCCEPStimulationConnectivity modificationsSurgeryPatientsSeizure Assessment and Forecasting With Efficient Rapid-EEG
Kalkach-Aparicio M, Fatima S, Selte A, Sheikh I, Cormier J, Gallagher K, Avagyan G, Cespedes J, Krishnamurthy P, Elazim A, Khan N, Hussein O, Maganti R, Larocque J, Holla S, Desai M, Westover B, Hirsch L, Struck A. Seizure Assessment and Forecasting With Efficient Rapid-EEG. Neurology 2024, 103: e209621. PMID: 38875512, DOI: 10.1212/wnl.0000000000209621.Peer-Reviewed Original ResearchConceptsMonitoring of at-risk patientsRecords of patientsTertiary care centerReceiver operating characteristic curveCritically ill patientsAt-risk patientsClass II evidenceDiagnostic accuracy studiesOperating characteristics curveMedian ageSecondary endpointsPrevent overtreatmentNo significant differenceEEG reviewRisk stratificationNoninferiority marginAntiseizure medicationsClinical correlatesPrimary outcomeII evidenceEEG technologistsSeizure assessmentIll patientsComparative effectiveness studiesLow riskBiomarker Assessment of a High-Risk, Data-Driven Pediatric Sepsis Phenotype Characterized by Persistent Hypoxemia, Encephalopathy, and Shock
Atreya M, Bennett T, Geva A, Faustino E, Rogerson C, Lutfi R, Cvijanovich N, Bigham M, Nowak J, Schwarz A, Baines T, Haileselassie B, Thomas N, Luo Y, Sanchez-Pinto L, Investigators F. Biomarker Assessment of a High-Risk, Data-Driven Pediatric Sepsis Phenotype Characterized by Persistent Hypoxemia, Encephalopathy, and Shock. Pediatric Critical Care Medicine 2024, 25: 512-517. PMID: 38465952, PMCID: PMC11153020, DOI: 10.1097/pcc.0000000000003499.Peer-Reviewed Original ResearchElectronic health recordsMultiple organ dysfunction syndromePediatric septic shock patientsSeptic shock patientsRisk strataElectronic health record dataSepsis phenotypesShock patientsPersistent multiple organ dysfunction syndromeAssociated with poor clinical outcomesDegree of systemic inflammationIncreased adjusted oddsHigh riskOrgan dysfunction syndromePoor clinical outcomesHealth recordsReceiver operating characteristic curveHigh-risk stratumArea under the receiver operating characteristic curveCritically ill patientsPredictive of deathSeverity of illnessAdjusted oddsIdentification of childrenOperating characteristics curveDevelopment of a Prototype Clinical Decision Support Tool for a Machine Learning Based Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease
Subramaniam R, Kane M, Krishnamurti L. Development of a Prototype Clinical Decision Support Tool for a Machine Learning Based Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease. Transplantation And Cellular Therapy 2024, 30: s65-s66. DOI: 10.1016/j.jtct.2023.12.104.Peer-Reviewed Original ResearchHematopoietic cell transplantationOutcomes of hematopoietic cell transplantationSickle cell diseasePositive predictive valueDecision support toolMachine-learningClinical decision support toolCell transplantationBalanced accuracyGraft failureSupport toolFold cross validationDecision-making methodPositive outcomesPredictive valueGVHD prophylaxis regimensEvent-free survivalBinary classifierUser inputRelevant clinical parametersReceiver operating characteristic curvePrototype decision support toolTraining datasetOperating characteristics curveTest dataset
2013
Validation of surrogate indexes of insulin sensitivity in acute phase of myocardial infarction based on euglycemic-hyperinsulinemic clamp
Moura F, Carvalho L, Cintra R, Martins N, Figueiredo V, Quinaglia e Silva J, Almeida O, Coelho O, Sposito A. Validation of surrogate indexes of insulin sensitivity in acute phase of myocardial infarction based on euglycemic-hyperinsulinemic clamp. AJP Endocrinology And Metabolism 2013, 306: e399-e403. PMID: 24347056, DOI: 10.1152/ajpendo.00566.2013.Peer-Reviewed Original ResearchConceptsQuantitative insulin sensitivity check indexEuglycemic-hyperinsulinemic clampHomeostatic model assessmentHOMA-IRInsulin sensitivityMyocardial infarctionSurrogate indexHomeostatic model assessment of insulin resistanceModel assessment of insulin resistanceConsecutive nondiabetic patientsHomeostatic model assessment of insulin sensitivityAssessment of insulin resistanceST-segment elevation MISurrogate indexes of insulin sensitivityInsulin sensitivity check indexIndices of insulin sensitivityAcute phase of myocardial infarctionReceiver operating characteristic curveAcute MI patientsAssessment of insulin sensitivityPhase of myocardial infarctionGold standard reference methodBland-Altman plotsOperating characteristics curvePoor patient outcomes
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