2025
Moderate alcohol-associated hepatitis: A real-world multicenter study
Idalsoaga F, Díaz L, Dunn W, Mehta H, Muñoz K, Caldentey V, Arnold J, Ayares G, Mortuza R, Sarin S, Maiwall R, Zhang W, Qian S, Simonetto D, Singal A, Elfeki M, Ramirez-Cadiz C, Malhi G, Ahmed A, Homsi H, Abid Z, Cabezas J, Echavarría V, Poca M, Soriano G, Cuyas B, Cots M, La Tijera M, Ayala-Valverde M, Perez D, Gomez J, Abraldes J, Al-Karaghouli M, Jalal P, Ibrahim M, García-Tsao G, Goyes D, Skladaný L, Havaj D, Sulejova K, Selcanova S, Rincón D, Chacko K, Restrepo J, Yaquich P, Toro L, Shah V, Arrese M, Kamath P, Bataller R, Arab J. Moderate alcohol-associated hepatitis: A real-world multicenter study. Hepatology Communications 2025, 9: e0673. PMID: 40131003, PMCID: PMC11936654, DOI: 10.1097/hc9.0000000000000673.Peer-Reviewed Original ResearchConceptsSevere alcohol-associated hepatitisNeutrophil-to-lymphocyte ratioMaddrey's discriminant functionModerate AHMultiple organ failureOrgan failureMulticenter retrospective cohort studyAlcohol-associated hepatitisCumulative survival rateRetrospective cohort studyReceiver operating characteristic curveLong-term outcomesShort-term mortalityMortality scoring systemsPrognostic factorsSerum bilirubinMELD scoreWell-characterized diseaseClinical profileMedian MELDCohort studyCox regressionMultivariate analysisTherapeutic strategiesSurvival rateMapping the way to successful euploid frozen embryo transfer: a prospective pilot study of uterine elastography
Margolis C, Garrido N, Roberts L, Reig A, Gill P, Willson S, Genovese H, Barrett F, Zuckerman C, Whitehead C, Bergh P, Seli E, Werner M. Mapping the way to successful euploid frozen embryo transfer: a prospective pilot study of uterine elastography. Human Reproduction 2025, deaf029. PMID: 39999405, DOI: 10.1093/humrep/deaf029.Peer-Reviewed Original ResearchPredictive of clinical pregnancyClinical pregnancyClinical parametersPatient populationShear wave elastographyPosterior myometriumEmbryo transferDay prior to embryo transferElastography parametersEuploid frozen embryo transferLikelihood of clinical pregnancyPredictive valueAlternative patient populationsInfertile patient populationLower uterine segmentPredicting clinical pregnancyFrozen embryo transferLikelihood of conceptionProspective pilot studyMultivariate logistic regression modelReceiver operating characteristic curvePrediction of pregnancyShear wave elastography assessmentsUniversity-affiliated centerAssociated with increased likelihoodMachine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis
Narimani-Javid R, Moradi M, Mahalleh M, Najafi-Vosough R, Arzhangzadeh A, Khalique O, Mojibian H, Kuno T, Mohsen A, Alam M, Shafiei S, Khansari N, Shaghaghi Z, Nozhat S, Hosseini K, Hosseini S. Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis. Journal Of Cardiovascular Computed Tomography 2025 PMID: 39988511, DOI: 10.1016/j.jcct.2025.02.004.Peer-Reviewed Original ResearchArea under the curveDiagnostic odds ratioDiagnostic performanceComputed tomography-derived fractional flow reserveDiagnostic performance of FFRCTHemodynamically significant coronary artery stenosisSignificant coronary artery stenosisMeta-analysisPer-patient levelReceiver operating characteristic curveCoronary artery diseaseCoronary artery stenosisPer-vessel levelFractional flow reserveNoninvasive diagnostic techniquesMachine learningInvasive FFRPooled specificityArtery diseaseArtery stenosisFlow reserveOdds ratioCochrane LibraryFFRCTPatientsArtificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.
Miller R, Kavanagh P, Lemley M, Liang J, Sharir T, Einstein A, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Hayes S, Friedman J, Berman D, Dey D, Slomka P. Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging. Journal Of Nuclear Medicine 2025, jnumed.124.268079. PMID: 39978815, DOI: 10.2967/jnumed.124.268079.Peer-Reviewed Original ResearchObstructive coronary artery diseaseCoronary artery diseaseArea under the receiver operating characteristic curveMyocardial perfusion imagingPerfusion scoreDetection of obstructive coronary artery diseaseDiagnostic accuracy of myocardial perfusion imagingPerfusion imagingAccuracy of myocardial perfusion imagingInvasive coronary angiographyCohort of patientsHighest area under the receiver operating characteristic curveLeft main coronary arteryReceiver operating characteristic curveStress TPDDeep learningObstructive CADMedian ageCoronary angiographyArtificial intelligenceDiagnostic performanceDiagnostic accuracyArtery diseaseAI predictionsCoronary arteryThe 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 methodologyThe role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment
Tatsuoka Y, He Z, Lin H, Notarianni A, Carr Z. The role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment. Brazilian Journal Of Anesthesiology 2025, 75: 844597. PMID: 39971234, PMCID: PMC11914786, DOI: 10.1016/j.bjane.2025.844597.Peer-Reviewed Original ResearchConceptsRight ventricular systolic pressurePostoperative pulmonary complicationsArea under the curveARISCAT scoreVentricular systolic pressureReceiver operating characteristic curvePulmonary hypertensionRespiratory failureHigh-risk populationPrimary endpointRisk stratificationSurgical proceduresSystolic pressurePostoperative pulmonary complications incidenceSource of increased morbidityAssess Respiratory RiskDiagnosis of PHPreoperative risk assessmentAdjusted multivariable logistic regression modelsMultivariate logistic regression modelComposite of pneumoniaPulmonary complicationsPreoperative investigationsSecondary endpointsPulmonary aspirationComparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies
Chen F, Esmaili R, Khajir G, Zeevi T, Gross M, Leapman M, Sprenkle P, Justice A, Arora S, Weinreb J, Spektor M, Huber S, Humphrey P, Levi A, Staib L, Venkataraman R, Martin D, Onofrey J. Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies. European Urology Oncology 2025 PMID: 39924390, DOI: 10.1016/j.euo.2025.01.005.Peer-Reviewed Original ResearchProstate cancerPrediction of clinically significant prostate cancerClinical dataProstate-specific antigen levelClinically significant prostate cancerProstate magnetic resonance imagingSeverity of prostate cancerCombination of clinical featuresPrediction of csPCaSignificant prostate cancerProstate Imaging-ReportingCore needle biopsyRetrospective analysis of dataDecision curve analysisReducing unnecessary biopsiesProstate cancer diagnosisReceiver operating characteristic curveArea under the receiver operating characteristic curveFalse-negative rateMagnetic resonance imagingPersonalized risk assessmentAntigen levelsNeedle biopsyPatient ageUnnecessary biopsiesDevelopment of a Clinical and Ultrasonic Parameter-Based Nomogram Model to Predict Restenosis after Superficial Femoral Artery Stenting
Wang Y, Gao M, Zhao X, Han P, Zhang L, Dardik A. Development of a Clinical and Ultrasonic Parameter-Based Nomogram Model to Predict Restenosis after Superficial Femoral Artery Stenting. Annals Of Vascular Surgery 2025, 113: 175-185. PMID: 39855385, DOI: 10.1016/j.avsg.2024.12.068.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlloysDecision Support TechniquesEndovascular ProceduresFemaleFemoral ArteryHumansMaleMiddle AgedNomogramsPeripheral Arterial DiseasePredictive Value of TestsRecurrenceReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsSelf Expandable Metallic StentsStentsTime FactorsTreatment OutcomeConceptsIn-stent restenosisSuperficial femoral arteryDecision curve analysisSuperficial femoral artery stentingLogistic regression analysisPeripheral arterial diseaseReceiver operating characteristicNomogram modelClinical utilityCurve analysisMultivariate logistic regression analysisSelf-expanding bare nitinol stentsTreated with stentingReceiver operating characteristic curveRisk of in-stent restenosisNomogram's clinical utilityBare nitinol stentsPrediction of in-stent restenosisExcellent discriminatory powerRegression analysisFemoral artery stentingArtery flow rateRetrospective studyTraining cohortSFA stenting
2024
Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history
Pham A, El-Kareh R, Myers F, Ohno-Machado L, Kuo T. Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history. Heliyon 2024, 11: e41350. PMID: 39958729, PMCID: PMC11825254, DOI: 10.1016/j.heliyon.2024.e41350.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curveMedical historyClostridioides difficile</i> infectionMonths of medical historyPatient's chancesData of demographicsReceiver operating characteristic curveLogistic regression modelsHealth patientsModerate sample sizesPregnant womenHealthcare institutionsClostridioides difficile</i>Antibiotic useOdds ratioNegative casesLarge-scale longitudinal dataFinancial incentivesPositive testLogistic regressionPatientsIncreased susceptibilityCharacteristic curveRegression modelsSignificant covariatesDiagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis
Sharifi G, Hajibeygi R, Zamani S, Easa A, Bahrami A, Eshraghi R, Moafi M, Ebrahimi M, Fathi M, Mirjafari A, Chan J, Dixe de Oliveira Santo I, Anar M, Rezaei O, Tu L. Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis. Emergency Radiology 2024, 32: 97-111. PMID: 39680295, DOI: 10.1007/s10140-024-02300-7.Peer-Reviewed Original ResearchConceptsConvolutional neural networkArea under the receiver operating characteristic curveConvolutional neural network modelCT scanSkull fractureComputed tomographyDeep learningProspective clinical trialMeta-analysisReceiver operating characteristic curvePublication biasSkull fracture detectionSystematic reviewNeural network algorithmDetecting skull fracturesImprove diagnosis accuracyDiagnostic hurdlesShortage of radiologistsAutomated diagnostic toolTransfer learningDiagnostic performanceDiagnostic accuracyClinical trialsModel architectureNeural networkCan 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 ResearchConstruction and performance of a clinical prediction rule for ureteral stone without the use of race or ethnicity: A new STONE score
Moore C, Gross C, Hart L, Molinaro A, Rhodes D, Singh D, Baloescu C. Construction and performance of a clinical prediction rule for ureteral stone without the use of race or ethnicity: A new STONE score. Journal Of The American College Of Emergency Physicians Open 2024, 5: e13324. PMID: 39524039, PMCID: PMC11543628, DOI: 10.1002/emp2.13324.Peer-Reviewed Original ResearchClinical prediction ruleArea under the receiver operating characteristic curveSTONE scoreMultivariate logistic regressionUreteral stonesComputed tomographyPrediction ruleUncomplicated renal colicKidney stonesReceiver operating characteristic curveLogistic regressionNon-black raceDiagnosis of kidney stonesGross hematuriaMicroscopic hematuriaRenal colicPotential adverse effectsDiagnostic accuracyHematuriaClinical algorithmMale genderProspective dataClinical accuracyRetrospective dataCharacteristic curveComparative analysis of aldosterone and renin assays for primary aldosteronism screening
Taki Y, Kono T, Teruyama K, Ichijo T, Sakuma I, Nagano H, Miyagawa H, Kono S, Fujimoto M, Hashimoto N, Yokoyama M, Kawakami E, Miki T, Tanaka T. Comparative analysis of aldosterone and renin assays for primary aldosteronism screening. Scientific Reports 2024, 14: 26040. PMID: 39472614, PMCID: PMC11522277, DOI: 10.1038/s41598-024-75645-1.Peer-Reviewed Original ResearchConceptsAldosterone-to-renin ratioPlasma aldosterone concentrationWeak mineralocorticoidLC-MS/MSPrimary aldosteronismChemiluminescent enzyme immunoassayAnalysis of aldosteroneLiquid chromatography/mass spectrometry/mass spectrometryPA diagnosisPrimary aldosteronism screeningNon-PA groupPlasma aldosterone concentration valuesReceiver operating characteristic curveRenin samplingRenin valuesAldosterone concentrationRetrospective studyCutoff valuePassing-Bablok regressionPAC samplesRenin assayPAC measurementsRadioimmunoassay methodEnzyme immunoassayRadioimmunoassayInternational multi-institutional external validation of preoperative risk scores for 30-day in-hospital mortality in paediatric patients
Tangel V, Hoeks S, Stolker R, Brown S, Pryor K, de Graaff J, Committee M, Pace N, Domino K, Muehlschlegel J, Kheterpal S, Vaughan M, Mathis M, Jiang S, Obembe S, Freundlich R, Schonberger R, Kim D. International multi-institutional external validation of preoperative risk scores for 30-day in-hospital mortality in paediatric patients. British Journal Of Anaesthesia 2024, 133: 1222-1233. PMID: 39477712, DOI: 10.1016/j.bja.2024.09.003.Peer-Reviewed Original ResearchConceptsSurgical risk scoresPediatric risk assessmentArea under the receiver operating characteristic curveIn-hospital mortalityRisk scoreMulticenter Perioperative Outcomes GroupPreoperative risk scoreDecision curve analysisReceiver operating characteristic curvePhysical status scoreExternal validationAssess model discriminationRisk prediction scoreASA physical status scoreClinical decision-makingPaediatric patientsLow probability of mortalityDutch hospitalsOutcome groupPatient-specific risk scoresPrimary outcomeClustering of casesCurve analysisStatus scoreCharacteristic curveVariability 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 modificationsSurgeryPatientsDevelopment of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023
Bui D, Bajema K, Huang Y, Yan L, Li Y, Rajeevan N, Berry K, Rowneki M, Argraves S, Hynes D, Huang G, Aslan M, Ioannou G. Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023. PLOS ONE 2024, 19: e0307235. PMID: 39365775, PMCID: PMC11451987, DOI: 10.1371/journal.pone.0307235.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCOVID-19 hospitalizationArea under the receiver operating characteristic curveComprehensive electronic health recordNational cohortElectronic health recordsAll-cause mortalityNational cohort of patientsFull modelHealth recordsHealth AdministrationReceipt of COVID-19 vaccineMortality riskEpidemiology of COVID-19COVID-19High-risk patientsBrier scoreCohort of patientsAnti-SARS-CoV-2 treatmentCOVID-19 vaccineReceiver operating characteristic curveCalibration interceptHospitalAntiviral treatmentAvailability of effective vaccinesA Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer
Lee V, Park H, Aneja S, Patel A. A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e638. DOI: 10.1016/j.ijrobp.2024.07.1402.Peer-Reviewed Original ResearchNon-small cell lung cancerLymph nodal metastasisCell lung cancerMedian AUCNodal metastasisPrimary tumorEndobronchial ultrasoundNon-small cell lung cancer stagingLung cancerDiagnostic uncertaintyPrediction of nodal metastasisPET-avid lesionsTreatment strategy formulationPrimary lung adenocarcinomaEBUS-guided biopsiesLymph node metastasisPrimary tumor tissuesReceiver operating characteristic curveTumor transcriptomic dataPET-CTNode metastasisNeedle aspirationCT scanNon-smallClinical decision-makingEarly Warning Scores With and Without Artificial Intelligence
Edelson D, Churpek M, Carey K, Lin Z, Huang C, Siner J, Johnson J, Krumholz H, Rhodes D. Early Warning Scores With and Without Artificial Intelligence. JAMA Network Open 2024, 7: e2438986. PMID: 39405061, PMCID: PMC11544488, DOI: 10.1001/jamanetworkopen.2024.38986.Peer-Reviewed Original ResearchConceptsEarly Warning ScoreWarning ScoreCohort studyYale New Haven Health SystemClinical deterioration eventsHigh-risk thresholdHealth systemRetrospective cohort studyPatient encountersDeteriorating patientsOverall PPVMain OutcomesInpatient encountersEDI scoresHospital encountersDeterioration eventsClinical deteriorationIntensive care unitEarly warning toolCare unitDecision support toolArtificial intelligenceScoresReceiver operating characteristic curveNEWS2Association between Preoperative Neutrophil-lymphocyte Ratio and All-cause Mortality in Patients Treated with Thoracic Endovascular Aortic Repair for Degenerative Thoracic Aortic Aneurysm
Kano M, Nishibe T, Dardik A, Iwahashi T, Nakano Y, Shimahara Y. Association between Preoperative Neutrophil-lymphocyte Ratio and All-cause Mortality in Patients Treated with Thoracic Endovascular Aortic Repair for Degenerative Thoracic Aortic Aneurysm. Annals Of Vascular Surgery 2024, 110: 255-264. PMID: 39341560, DOI: 10.1016/j.avsg.2024.07.110.Peer-Reviewed Original ResearchThoracic endovascular aortic repairPatients treated with thoracic endovascular aortic repairDegenerative thoracic aortic aneurysmsPreoperative neutrophil-lymphocyte ratioNeutrophil-lymphocyte ratioThoracic aortic aneurysmAll-cause mortalityEndovascular aortic repairAortic repairAortic aneurysmCut-off values of neutrophil-lymphocyte ratioOptimal cut-off values of neutrophil-lymphocyte ratioElevated preoperative neutrophil-lymphocyte ratioOverall mortalityValue of neutrophil-lymphocyte ratioOptimal cut-off valueAbsolute lymphocyte countAbsolute neutrophil countRisk of overall mortalityLikelihood of all-cause mortalityReceiver operating characteristic curveIschemic heart diseaseLymphocyte countStratify patientsNeutrophil countDiagnostic utility of prostate health index density prior to MRI-ultrasound fusion targeted biopsy
Press B, Lokeshwar S, Webb L, Khajir G, Smani S, Olawoyin O, Gardezi M, Rahman S, Leapman M, Sprenkle P. Diagnostic utility of prostate health index density prior to MRI-ultrasound fusion targeted biopsy. Exploration Of Targeted Anti-tumor Therapy 2024, 5: 1168-1176. PMID: 39465014, PMCID: PMC11502073, DOI: 10.37349/etat.2024.00269.Peer-Reviewed Original ResearchProstate Health IndexMRI-ultrasound fusion targeted biopsyClinically significant prostate cancerFusion targeted biopsyPI-RADS 1Gleason grade groupMagnetic resonance imagingPhi densityPI-RADSProstate specific-antigenProstate biopsyImproved detection of clinically significant prostate cancerDetection of clinically significant prostate cancerPHI testingProstate health index densityElevated prostate-specific antigenMRI-ultrasound fusionProstate Imaging ReportingSignificant prostate cancerProstate-specific antigenSelection of patientsDetection of PCaReceiver operating characteristic curveCombination of magnetic resonance imagingMultivariate logistic regression
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