2025
Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone
Candon K, Georgiou N, Ramnauth R, Cheung J, Fincke E, Scassellati B. Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone. Proceedings Of The AAAI Conference On Artificial Intelligence 2025, 39: 28988-28995. DOI: 10.1609/aaai.v39i28.35168.Peer-Reviewed Original ResearchHarnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care
Aminorroaya A, Biswas D, Pedroso A, Khera R. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care. Journal Of The Society For Cardiovascular Angiography & Interventions 2025, 4: 102562. PMID: 40230673, PMCID: PMC11993883, DOI: 10.1016/j.jscai.2025.102562.Peer-Reviewed Original ResearchClinical careCommunity-based screening programCare quality outcomesPatient outcomesPatient-focused careHarness artificial intelligenceArtificial intelligencePotential of AIImprove patient outcomesIndividualized clinical careTransform careTransform clinical practiceCardiovascular careScreening programHealth dataQuality outcomesCareClinical workflowClinical tasksAcute coronary syndromeClinical practiceHeart diseaseAI-driven technologiesInterventionAI-enabledGenerative artificial intelligence and machine learning methods to screen social media content.
Sharp K, Ouellette R, Singh R, DeVito E, Kamdar N, de la Noval A, Murthy D, Kong G. Generative artificial intelligence and machine learning methods to screen social media content. PeerJ Computer Science 2025, 11: e2710. PMID: 40134877, PMCID: PMC11935761, DOI: 10.7717/peerj-cs.2710.Peer-Reviewed Original ResearchSocial media contentMachine learning methodsGenerative artificial intelligenceHuman reviewScreen contentLearning methodsArtificial intelligenceHuman codersMedia contentMachine learning techniquesSocial media dataObject detectionOpenCV libraryCloud VisionText dataMetadata entriesExtract framesChatGPTLearning techniquesIrrelevant contentSocial media platformsSocial media researchIrrelevant resultsMedia dataRelevant contentArtificial Intelligence–Guided Lung Ultrasound by Nonexperts
Baloescu C, Bailitz J, Cheema B, Agarwala R, Jankowski M, Eke O, Liu R, Nomura J, Stolz L, Gargani L, Alkan E, Wellman T, Parajuli N, Marra A, Thomas Y, Patel D, Schraft E, O’Brien J, Moore C, Gottlieb M. Artificial Intelligence–Guided Lung Ultrasound by Nonexperts. JAMA Cardiology 2025, 10: 245-253. PMID: 39813064, PMCID: PMC11904735, DOI: 10.1001/jamacardio.2024.4991.Peer-Reviewed Original ResearchThis study shows AI helps non-experts create expert-quality lung ultrasound images, which may improve healthcare diagnostics access in underserved areas.Facial Determinants of Artificial Intelligence–Perceived Gender and Age Following Facial Feminization Surgery
Vassallo M, Ihnat J, Flores-Pérez P, Rancu A, Allam O, Alperovich M. Facial Determinants of Artificial Intelligence–Perceived Gender and Age Following Facial Feminization Surgery. Journal Of Craniofacial Surgery 2025, 36: 734-738. DOI: 10.1097/scs.0000000000011135.Peer-Reviewed Original ResearchFacial feminization surgeryFacial thirdFeminization surgeryUpper thirdPostoperative imagingPostoperative changesFacial recognition softwarePostoperative ageYounger cohortsArtificial intelligence evaluationArtificial intelligenceLower thirdCohortRecognition softwareIntelligent evaluationTransgender womenSurgeryAgeAge scoresScoresArtificial Intelligence Meets Holistic Review: Promises and Pitfalls of Automating the Medical Education Admissions Process.
Rosenthal J, Hafferty F, Kulasegaram K, Wendland C, Taylor J. Artificial Intelligence Meets Holistic Review: Promises and Pitfalls of Automating the Medical Education Admissions Process. Academic Medicine 2025 PMID: 39993258, DOI: 10.1097/acm.0000000000005964.Peer-Reviewed Original ResearchArtificial 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 arteryArtificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
Oikonomou E, Vaid A, Holste G, Coppi A, McNamara R, Baloescu C, Krumholz H, Wang Z, Apakama D, Nadkarni G, Khera R. Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study. The Lancet Digital Health 2025, 7: e113-e123. PMID: 39890242, DOI: 10.1016/s2589-7500(24)00249-8.Peer-Reviewed Original ResearchConceptsYale New Haven Health SystemPoint-of-care ultrasonographyMount Sinai Health SystemTransthyretin amyloid cardiomyopathyArtificial intelligenceHealth systemAmyloid cardiomyopathyHypertrophic cardiomyopathyRetrospective cohort of individualsCardiomyopathy casesTesting artificial intelligenceConvolutional neural networkSinai Health SystemCohort of individualsOpportunistic screeningHypertrophic cardiomyopathy casesMulti-labelPositive screenAI frameworkEmergency departmentMortality riskNeural networkLoss functionCardiac ultrasonographyAugmentation approachEvaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration
Cornelis F, Filippiadis D, Wiggermann P, Solomon S, Madoff D, Milot L, Bodard S. Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration. Diagnostic And Interventional Imaging 2025 PMID: 39884887, DOI: 10.1016/j.diii.2025.01.004.Peer-Reviewed Original ResearchPercutaneous image-guided interventionsArtificial intelligenceRobotic systemImage-guided interventionsNovel metricAdvanced imagingIntegration of advanced imagingArtificial intelligence integrationLevel of automationEvaluation of navigationIntelligent integrationLevel of autonomySurgical robotRobotic devicesNavigationIntegration of imaging technologyNavigation systemNavigation devicesWeb of Science databasesCochrane LibraryIntelligencePRISMA guidelinesAutomationMetricsAggregate scoreLeveraging Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism
Mojibian H, Khosla A. Leveraging Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism. 2025, 1-15. DOI: 10.1007/978-3-030-70904-4_72-1.Peer-Reviewed Original ResearchIntegrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Ye Y, Pandey A, Bawden C, Sumsuzzman D, Rajput R, Shoukat A, Singer B, Moghadas S, Galvani A. Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. Nature Communications 2025, 16: 581. PMID: 39794317, PMCID: PMC11724045, DOI: 10.1038/s41467-024-55461-x.Peer-Reviewed Original ResearchConceptsArtificial intelligenceEffective public health planningPublic health planningMechanistic modelSystematic search strategyCapabilities of artificial intelligenceData-mining capabilitiesReview of opportunitiesFusion of AIPotential of AIHealth plansSpectrum of infectious diseasesDisease dynamicsPreparing for The Silver Tsunami: The Potential for use of Big Data and Artificial Intelligence in Geriatric Anesthesia
Chu L, Kurup V. Preparing for The Silver Tsunami: The Potential for use of Big Data and Artificial Intelligence in Geriatric Anesthesia. Current Anesthesiology Reports 2025, 15: 17. DOI: 10.1007/s40140-024-00674-5.Peer-Reviewed Original ResearchBig data analyticsData analyticsMachine learningPotential of big data analyticsAdoption of MLIntegration of MLData privacyBig DataData scientistsData-driven insightsArtificial intelligenceGeriatric anesthesiaAlgorithmic biasModel interpretationML modelsPreoperative risk stratificationPredicting postoperative complicationsIntraoperative anesthesia managementPostoperative complicationsRespiratory complicationsRisk stratificationElderly patientsDataAdverse outcomesAnesthesia managementThe Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come
Chu L, Kurup V. The Promise of Artificial Intelligence and Machine Learning in Geriatric Anesthesiology Education: An Idea Whose Time Has Come. Current Anesthesiology Reports 2025, 15: 15. DOI: 10.1007/s40140-024-00660-x.Peer-Reviewed Original ResearchMachine learningArtificial intelligenceIntegration of AIPotential of artificial intelligenceData-driven decision-makingAnesthesia educationEra of digital transformationPersonalized learning experienceAI capabilitiesPrecision learningHuman expertiseAI integrationCollaborative environmentAdaptive learning moduleAI simulationReal-time feedbackContinuing professional developmentLearning moduleDigital transformationProfessional developmentLearning experienceLearningEducationEnhance proficiencyIntelligence
2024
Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions
Taylor R, Sangal R, Smith M, Haimovich A, Rodman A, Iscoe M, Pavuluri S, Rose C, Janke A, Wright D, Socrates V, Declan A. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions. Academic Emergency Medicine 2024, 32: 327-339. PMID: 39676165, PMCID: PMC11921089, DOI: 10.1111/acem.15066.Peer-Reviewed Original ResearchClinical decision supportEmergency departmentArtificial intelligencePatient safetyDiagnostic errorsImplementing AIImprove patient safetyClinical decision support systemsEnhance patient outcomesReducing diagnostic errorsLeverage artificial intelligenceEmergency medicineHealth careTargeted educationReduce cognitive loadQuality improvementEmergency cliniciansData retrievalReal-time insightsDecision supportPatient outcomesCognitive overloadInformation-gathering processPatient detailsCliniciansCan 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 ResearchEnhancing Histology Detection in MASH Cirrhosis for Artificial Intelligence Pathology Platform by Expert Pathologist Training
Goodman Z, Akbary K, Noureddin M, Ren Y, Chng E, Tai D, Boudes P, Garcia‐Tsao G, Harrison S, Chalasani N. Enhancing Histology Detection in MASH Cirrhosis for Artificial Intelligence Pathology Platform by Expert Pathologist Training. Liver International Communications 2024, 5 DOI: 10.1002/lci2.70007.Peer-Reviewed Original ResearchArtificial intelligenceAI modelsPositive predictive valuePathologist annotationsSmooth muscle actinLiver biopsyValidation cohortNodule annotationsPre-trainingRe-trainingHistopathological assessmentPathologist trainingAnnotationAssessment of liver biopsiesImproved accuracySirius RedAlgorithmHistopathological assessment of liver biopsiesExpert hepatopathologistsArtificialRelease of complex imaging reports to patients, do radiologists trust AI to help?
Amin K, Davis M, Naderi A, Forman H. Release of complex imaging reports to patients, do radiologists trust AI to help? Current Problems In Diagnostic Radiology 2024, 54: 147-150. PMID: 39676024, DOI: 10.1067/j.cpradiol.2024.12.008.Peer-Reviewed Original ResearchRadiology reportsArtificial intelligenceImprove patient comprehensionAcademic medical centerEight-question surveyManual checkingPatient portalsCentury Cures ActArtificial intelligence systemsArtificial intelligence technologyPatient comprehensionOpinions of radiologistsClinical fellowsIntelligent systemsCures ActMedical CenterImaging ReportingIntelligence technologyRadiology attendingsContact informationPatientsRadiologistsRadiologyApplication of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination
Garbey M, Lesport Q, Girma H, Öztosun G, Abu-Rub M, Guidon A, Juel V, Nowak R, Soliven B, Aban I, Kaminski H. Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination. Frontiers In Neurology 2024, 15: 1474884. PMID: 39697445, PMCID: PMC11652356, DOI: 10.3389/fneur.2024.1474884.Peer-Reviewed Original ResearchNatural language processingMyasthenia gravisArtificial intelligenceArtificial intelligence methodsSeries of algorithmsComputer visionSignal processing methodsExamination of patientsConventional clinical settingsLanguage processingIntelligence methodsNon-physician healthcare providersVideoControl subjectsClinical trialsPatientsRespiratory metricsMyastheniaBreath countClinical settingAlgorithmBody motionVideos of patientsTelemedicine evaluationIntelligenceArtificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications
Bulletti C, Franasiak J, Busnelli A, Sciorio R, Berrettini M, Aghajanova L, Bulletti F, Ata B. Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications. Mayo Clinic Proceedings Digital Health 2024, 2: 518-532. DOI: 10.1016/j.mcpdig.2024.08.007.Peer-Reviewed Original ResearchClinical decision support algorithmsAssisted reproductive technologyDecision support algorithmEvidence-based guidanceSupport algorithmClinical managementDecision aidImprove in vitro fertilization outcomesSystematic reviewInclusion criteriaRelevant articlesLiterature searchPatient counselingClinical settingRetrospective studyART cyclesAssisted reproductive technology practicesClinical trialsEmbryo assessmentFertility outcomesLack of standardizationReproductive technologyPracticeArtificial intelligenceCounselingThe Role of Artificial Intelligence in Vascular Care
Nimmagadda N, Aboian E, Kiang S, Fischer U. The Role of Artificial Intelligence in Vascular Care. JVS-Vascular Insights 2024, 100179. DOI: 10.1016/j.jvsvi.2024.100179.Peer-Reviewed Original Research
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