2025
An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test
Zhang Y, Xu Y, Cheng Y, Zhao Y, Potenza M, Shi H. An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test. Asian Journal Of Psychiatry 2025, 107: 104451. DOI: 10.1016/j.ajp.2025.104451.Peer-Reviewed Original ResearchAutobiographical Memory TestNon-anxious depressionFunctional near-infrared spectroscopyAnxious depressionMemory testDepressive symptomsAnxious-depressive symptomsNegative emotional valenceSevere mood disordersFrontal pole areasAD symptomsMood disordersEmotional valenceRight hemisphereNeuroimaging dataDiagnosed depressionSymptom groupsCognitive impairmentSymptom predictionHealthy controlsNear-infrared spectroscopyDepressionSymptomsRecall featuresArea under the receiver operating characteristic curveArtificial 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 arteryComparative 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 biopsies
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 networkConstruction 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 curveNatural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
Adejumo P, Thangaraj P, Dhingra L, Aminorroaya A, Zhou X, Brandt C, Xu H, Krumholz H, Khera R. Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open 2024, 7: e2443925. PMID: 39509128, PMCID: PMC11544492, DOI: 10.1001/jamanetworkopen.2024.43925.Peer-Reviewed Original ResearchConceptsFunctional status assessmentArea under the receiver operating characteristic curveClinical documentationElectronic health record dataHF symptomsOptimal care deliveryHealth record dataAssess functional statusStatus assessmentClinical trial participationProcessing of clinical documentsFunctional status groupCare deliveryOutpatient careMain OutcomesMedical notesTrial participantsNew York Heart AssociationFunctional statusQuality improvementRecord dataHeart failureClinical notesDiagnostic studiesStatus groupsInternational 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 curveDevelopment 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 vaccinesLarge-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy
Greenland P, Segal M, McNeil R, Parker C, Pemberton V, Grobman W, Silver R, Simhan H, Saade G, Ganz P, Mehta P, Catov J, Merz C, Varagic J, Khan S, Parry S, Reddy U, Mercer B, Wapner R, Haas D. Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy. JAMA Cardiology 2024, 9: 791-799. PMID: 38958943, PMCID: PMC11223045, DOI: 10.1001/jamacardio.2024.1621.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curveCase-control studyHypertensive disordersEarly pregnancyClinical dataSmall-for-gestational-age infantsPrediction of hypertensive disordersSmall-for-gestational-ageHypertensive disorders of pregnancyPrediction of HDPDisorders of pregnancyNested case-control studyPlasma samplesMulticenter observational studyStored plasma samplesReceiver operating characteristic curveBody mass indexGestational hypertensionNon-Hispanic blacksPreterm birthFetal sexFirst-trimesterNon-Hispanic whitesPregnancy outcomesMaternal raceDeep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer
Kim S, Kim S, Kim E, Cecchini M, Park M, Choi J, Kim S, Hwang H, Kang C, Choi H, Shin S, Kang J, Lee C. Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer. JCO Clinical Cancer Informatics 2024, 8: e2400021. PMID: 39151114, DOI: 10.1200/cci.24.00021.Peer-Reviewed Original ResearchConceptsArea under the receiver operating characteristic curveSurvival of patientsCT reportsPancreatic cancerNatural language processingC-indexPredicting survivalOverall survival of patientsTertiary hospitalPredicting 1-year survivalPredicting survival of patientsImproved C-indexSurvival informationPancreatic cancer survivalReceiver operating characteristic curveInternal test data setNLP modelsComputed tomography reportsLanguage processingKorean tertiary hospitalOverall survivalConsecutive patientsActual survivalConcordance indexPatientsElevated myocardial extracellular volume fraction is associated with the development of conduction pathway defects following transcatheter aortic valve replacement
Feroze R, Kang P, Dallan L, Akula N, Galo J, Yoon S, Ukaigwe A, Filby S, Baeza C, Pelletier M, Rushing G, Rajagopalan S, Al‐Kindi S, Rashid I, Attizzani G. Elevated myocardial extracellular volume fraction is associated with the development of conduction pathway defects following transcatheter aortic valve replacement. Catheterization And Cardiovascular Interventions 2024, 104: 1119-1128. PMID: 38952304, DOI: 10.1002/ccd.31136.Peer-Reviewed Original ResearchMeSH KeywordsAction PotentialsAgedAged, 80 and overAortic ValveAortic Valve StenosisArea Under CurveAtrioventricular BlockBundle-Branch BlockCardiac Pacing, ArtificialFemaleFibrosisHeart Conduction SystemHumansMagnetic Resonance Imaging, CineMaleMyocardiumPacemaker, ArtificialPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsROC CurveTime FactorsTranscatheter Aortic Valve ReplacementTreatment OutcomeConceptsTranscatheter aortic valve replacementCardiac magnetic resonance imagingLate gadolinium enhancementRight bundle branch blockArea under the receiver operating characteristic curveAortic valve replacementReceiver operating curveMyocardial fibrosisPost-TAVRConduction defectsBundle branch blockAssociations of myocardial fibrosisExtracellular volumeConduction diseaseValve replacementGadolinium enhancementPermanent pacemakerConduction abnormalitiesConduction deficitsHeart blockBranch blockRisk of heart blockSeptal late gadolinium enhancementMyocardial extracellular volume fractionBaseline conduction diseaseLeveraging machine learning to develop a postoperative predictive model for postoperative urinary retention following lumbar spine surgery
Malnik S, Porche K, Mehkri Y, Yue S, Maciel C, Lucke-Wold B, Robicsek S, Decker M, Busl K. Leveraging machine learning to develop a postoperative predictive model for postoperative urinary retention following lumbar spine surgery. Frontiers In Neurology 2024, 15: 1386802. PMID: 38988605, PMCID: PMC11233696, DOI: 10.3389/fneur.2024.1386802.Peer-Reviewed Original ResearchPostoperative urinary retentionLumbar spine surgerySpine surgeryUrinary retentionPatient demographicsIncidence of postoperative urinary retentionRetrospective observational cohort studyTertiary academic medical centerIndwelling catheter placementIncreased patient morbidityReceiver operating characteristic curveArea under the receiver operating characteristic curveObservational cohort studyAcademic medical centerBody mass indexPostoperative prediction modelLogistic regression modelsIntraoperative variablesIntraoperative factorsCatheter placementAnesthesia variablesPatient morbidityMass indexSurgical proceduresCohort studyPerformance of contemporary cardiovascular risk stratification scores in Brazil: an evaluation in the ELSA-Brasil study
Camargos A, Barreto S, Brant L, Ribeiro A, Dhingra L, Aminorroaya A, Bittencourt M, Figueiredo R, Khera R. Performance of contemporary cardiovascular risk stratification scores in Brazil: an evaluation in the ELSA-Brasil study. Open Heart 2024, 11: e002762. PMID: 38862252, PMCID: PMC11168182, DOI: 10.1136/openhrt-2024-002762.Peer-Reviewed Original ResearchConceptsPooled Cohort EquationsELSA-BrasilRisk scoreCardiovascular diseaseCVD eventsCommunity-based cohort studyArea under the receiver operating characteristic curveCVD risk scoreELSA-Brasil studyIncident CVD eventsMiddle-income countriesAdjudicated CVD eventsCardiovascular disease riskCVD scoreCohort EquationsNational guidelinesRisk stratification scoresWhite womenAge/sex groupsCohort studyProspective cohortLMICsSex/race groupsHigher incomeRisk discrimination[Prediction model related to 6-year risk of frailty in older adults aged 65 years or above in China].
Zhou J, Qi L, Wang J, Liu S, Shi W, Ye L, Zhang Z, Zhang Z, Meng X, Cui J, Chen C, Lyu Y, Shi X. [Prediction model related to 6-year risk of frailty in older adults aged 65 years or above in China]. Chinese Journal Of Epidemiology 2024, 45: 809-816. PMID: 38889980, DOI: 10.3760/cma.j.cn112338-20231205-00333.Peer-Reviewed Original ResearchConceptsDaily living scoresPredictors of frailtyArea under the receiver operating characteristic curveIncident frailtyOlder adultsLiving scoresChinese Longitudinal Healthy Longevity SurveyRisk thresholdSelf-rated healthChinese older adultsRisk of incident frailtyRisk of frailtyFree of frailtyPhysical examination variablesCox proportional hazards regression modelsProportional hazards regression modelsRisk prediction modelInstrumental activitiesHazards regression modelsLongevity SurveyFrailty incidenceFollow-up timeDecision-curve analysisOlder personsReceiver operating characteristic curveHematuria Cancer Risk Score with Ultrasound Informs Cystoscopy Use in Patients with Hematuria
Tan W, Ahmad A, Zhou Y, Nathan A, Ogunbo A, Gbolahan O, Kallam N, Smith R, Khalifeh M, Tan W, Cohen D, Volanis D, Walter F, Sasieni P, Kamat A, Kelly J. Hematuria Cancer Risk Score with Ultrasound Informs Cystoscopy Use in Patients with Hematuria. European Urology Oncology 2024, 8: 87-93. PMID: 38811250, DOI: 10.1016/j.euo.2024.05.005.Peer-Reviewed Original ResearchCancer risk scoreRenal bladder ultrasoundTa bladder cancerUrinary tract cancerRisk scoreValidation cohortBladder cancerHealth care cost savingsBladder ultrasoundDiagnosis of urinary tract cancerInvasive proceduresDevelopment cohortIdentification of cancerSuspicion of bladder cancerSecondary careIndependent validation cohortReceiver operating characteristic curveUK hospitalsArea under the receiver operating characteristic curveOutcome measuresTriage of patientsConsecutive patientsPatient cohortCystoscopyHematuriaPredicting Hypoglycemia and Hyperglycemia Risk During and After Activity for Adolescents with Type 1 Diabetes
Bergford S, Riddell M, Gal R, Patton S, Clements M, Sherr J, Calhoun P. Predicting Hypoglycemia and Hyperglycemia Risk During and After Activity for Adolescents with Type 1 Diabetes. Diabetes Technology & Therapeutics 2024, 26: 728-738. PMID: 38669475, DOI: 10.1089/dia.2024.0061.Peer-Reviewed Original ResearchRepeated measures logistic regressionPhysically active adolescentsHyperglycemia riskType 1 diabetesMeasures logistic regressionComposite riskAcute glucose responseGlucose rateWearing continuous glucose monitoringContinuous glucose monitoringReceiver operating characteristic curveArea under the receiver operating characteristic curveRisk of hypoglycemiaLogistic regressionActive adolescentsHbA1c levelsActivity startExerciseAdolescentsRiskCharacteristic curveHypoglycemiaGlucose responseHyperglycemiaT1DContribution of tumour and immune cells to PD‐L1 expression as a predictive biomarker in metastatic triple‐negative breast cancer: exploratory analysis from KEYNOTE‐119
Cortes J, Winer E, Lipatov O, Im S, Gonçalves A, Muñoz‐Couselo E, Lee K, Schmid P, Tamura K, Testa L, Witzel I, Ohtani S, Hund S, Kulangara K, Karantza V, Mejia J, Ma J, Jelinic P, Huang L, Pruitt S, Emancipator K. Contribution of tumour and immune cells to PD‐L1 expression as a predictive biomarker in metastatic triple‐negative breast cancer: exploratory analysis from KEYNOTE‐119. The Journal Of Pathology Clinical Research 2024, 10: e12371. PMID: 38627977, PMCID: PMC11021797, DOI: 10.1002/2056-4538.12371.Peer-Reviewed Original ResearchConceptsMetastatic triple-negative breast cancerPD-L1 expressionTriple-negative breast cancerPD-L1 CPSPD-L1Breast cancerTreated metastatic triple-negative breast cancerIncreased programmed death ligand 1PD-L1 IHC 22C3 pharmDxEfficacy of pembrolizumab monotherapyPD-L1 expression assessmentProgrammed death-1 blockadeExpression of PD-L1Objective response rateProgression-free survivalTumor proportion scoreDeath-ligand 1Contribution of tumorImmune cell densityReceiver operating characteristic curveArea under the receiver operating characteristic curvePredictive of responsePembrolizumab monotherapyOverall survivalUniform scoring systemExternal validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis
Klein P, Shu L, Lindgren E, de Winter M, Siegler J, Simpkins A, Omran S, Heldner M, de Havenon A, Abdalkader M, Al Kasab S, Stretz C, Wu T, Wilson D, Asad S, Almallouhi E, Frontera J, Kuohn L, Rothstein A, Bakradze E, Henninger N, Zubair A, Sharma R, Kerrigan D, Aziz Y, Mistry E, van Kammen M, Tatlisumak T, Krzywicka K, Aguiar de Sousa D, Jood K, Field T, Yaghi S, Coutinho J, Nguyen T. External validation of the SI2NCAL2C score for outcomes following cerebral venous thrombosis. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107720. PMID: 38614162, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107720.Peer-Reviewed Original ResearchConceptsCerebral venous thrombosisArea under the receiver operating characteristic curvePoor outcomeVenous thrombosisCentral nervous system infectionInternational retrospective studyNervous system infectionExternal validation cohortFocal neurological deficitsReceiver operating characteristic curvePoor outcome dataLevels of hemoglobinLack of follow-upPoorer outcome scoresConsecutive patientsClinical presentationRetrospective studyValidation cohortIntracerebral hemorrhageNeurological deficitsFollow-upOutcome scoresSystemic infectionLevels of glucoseInternational cohortValidation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data
Ganz D, Esserman D, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Greene E. Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data. The Journals Of Gerontology Series A 2024, 79: glae096. PMID: 38566617, PMCID: PMC11167485, DOI: 10.1093/gerona/glae096.Peer-Reviewed Original ResearchFee-for-serviceFall injuriesMedicare AdvantageMedicare dataTrial armsHealthcare systemDevelop Confidence in EldersArea under the receiver operating characteristic curveMedicare fee-for-serviceStratified resultsMedicareReduce injuriesMedical attentionObservational studyStrideReceiver operating characteristic curveCalendar monthMA dataInjuryData sourcesHealthcareArmReference standardTrialsWindow size
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