2025
Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program
Wigman J, Ching A, Chung Y, Eichi H, Lane E, Langholm C, Vaidyam A, Byun A, Haidar A, Hartmann J, Nunez A, Dwyer D, Nasarudin A, Borders O, Scott I, Tamayo Z, Matneja P, Cho K, Addington J, Alameda L, Arango C, Breitborde N, Broome M, Cadenhead K, Calkins M, Chen E, Choi J, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Ellman L, Fusar-Poli P, Gaspar P, Gerber C, Glenthøj L, Horton L, Hui C, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim S, Koutsouleris N, Langbein K, Mamah D, Mathalon D, Mittal V, Nordentoft M, Pearlson G, Perez J, Perkins D, Powers A, Rogers J, Sabb F, Schiffman J, Shah J, Silverstein S, Smesny S, Yassin W, Stone W, Strauss G, Thompson J, Upthegrove R, Verma S, Wang J, Wolf D, Wolff P, Rowland L, D’Alfonso S, Pasternak O, Bouix S, McGorry P, Kahn R, Kane J, Bearden C, Woods S, Shenton M, Nelson B, Baker J, Torous J. Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program. Schizophrenia 2025, 11: 83. PMID: 40461469, PMCID: PMC12134270, DOI: 10.1038/s41537-025-00599-w.Peer-Reviewed Original ResearchDigital componentsDigital health technologiesSmartphone-based digital phenotypingNovel digital health technologiesClinical high riskDigital phenotypingDigital dataHealth technologiesPredictive of transition to psychosisReal-life experiencesSchizophrenia ProgramDaily lifeTransition to psychosisPassive dataEpisode of psychosisPsychosis transitionMapping of experiencesTechnologyHigh riskMeta-analytic studiesCollaborative projectBiosensing Technologies to Improve Neurological Disease Management
Nuthalapati P, Singh A, Desai B, Yendapalli P, Gongireddy R, Singh K, Bollu B, Pinninty D. Biosensing Technologies to Improve Neurological Disease Management. 2025, 401-421. DOI: 10.1002/9781394287697.ch13.Peer-Reviewed Original ResearchRealism Drives Interpersonal Reciprocity but Yields to AI-Assisted Egocentrism in a Coordination Experiment
Shirado H, Shimizu K, Christakis N, Kasahara S. Realism Drives Interpersonal Reciprocity but Yields to AI-Assisted Egocentrism in a Coordination Experiment. 2025, 1-21. DOI: 10.1145/3706598.3713371.Peer-Reviewed Original ResearchDesign of HCI systemsArtificial intelligenceImproving user performanceVirtual reality technologyHCI systemUser performanceRobot carSocial applicationsEnhance realismEffects of realismVirtual carReality technologyInterpersonal coordinationHuman behaviorPhysical spaceDigital spaceTechnologyIntelligenceCarRealismCommunicationAssistanceGameSpaceCoordinationArtificial 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 Research
2024
State of the art of mobile health technologies use in clinical arrhythmia care
Sridhar A, Cheung J, Lampert R, Silva J, Gopinathannair R, Sotomonte J, Tarakji K, Fellman M, Chrispin J, Varma N, Kabra R, Mehta N, Al-Khatib S, Mayfield J, Navara R, Rajagopalan B, Passman R, Fleureau Y, Shah M, Turakhia M, Lakkireddy D. State of the art of mobile health technologies use in clinical arrhythmia care. Communications Medicine 2024, 4: 218. PMID: 39472742, PMCID: PMC11522556, DOI: 10.1038/s43856-024-00618-4.Peer-Reviewed Original ResearchPersonal health managementElectronic medical record integrationHealth technologiesData managementSensor technologyMedical record integrationHealth care professionalsMobile health technologyArrhythmia careConsumer health technologiesRecord integrationSmartphone-basedCare professionalsQuality oversightTarget populationHealth managementPhotoplethysmographyTechnologyClinical practiceCareLong-term rhythm monitoringManagement of cardiac arrhythmiasSensorArtificial intelligence-enhanced patient evaluation: bridging art and science
Oikonomou E, Khera R. Artificial intelligence-enhanced patient evaluation: bridging art and science. European Heart Journal 2024, 45: 3204-3218. PMID: 38976371, PMCID: PMC11400875, DOI: 10.1093/eurheartj/ehae415.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsA Prototype of Big Data Platform for Seniors Care
Chikalanov A, Kirilov L, Nikolov R, Lyubenova M, Petkov Y. A Prototype of Big Data Platform for Seniors Care. Comptes Rendus De L'Académie Bulgare Des Sciences : Sciences Mathématiques Et Naturelles 2024, 77: 871–880-871–880. DOI: 10.7546/crabs.2024.06.10.Peer-Reviewed Original ResearchRoSI: A Model for Predicting Robot Social Influence
Erel H, Vázquez M, Sebo S, Salomons N, Gillet S, Scassellati B. RoSI: A Model for Predicting Robot Social Influence. ACM Transactions On Human-Robot Interaction 2024, 13: 1-22. DOI: 10.1145/3641515.Peer-Reviewed Original ResearchArtificial Intelligence for Cardiovascular Care—Part 1: Advances JACC Review Topic of the Week
Elias P, Jain S, Poterucha T, Randazzo M, Lopez Jimenez F, Khera R, Perez M, Ouyang D, Pirruccello J, Salerno M, Einstein A, Avram R, Tison G, Nadkarni G, Natarajan V, Pierson E, Beecy A, Kumaraiah D, Haggerty C, Avari Silva J, Maddox T. Artificial Intelligence for Cardiovascular Care—Part 1: Advances JACC Review Topic of the Week. Journal Of The American College Of Cardiology 2024, 83: 2472-2486. PMID: 38593946, DOI: 10.1016/j.jacc.2024.03.400.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsEnhanced image qualityHuman expertsLeverage AIEvaluation benchmarkArtificial intelligenceAI modelsAI advancementsDetect diseaseTraining methodsImage qualityReduced ejection fractionEvolving technologyValvular heart diseaseReal-world efficacyEjection fractionProvider experienceHeart diseaseTechnologyCardiovascular carePatient careUnique characteristicsIntelligenceBenchmarksLeveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation
Yan C, Grabowska M, Dickson A, Li B, Wen Z, Roden D, Michael Stein C, Embí P, Peterson J, Feng Q, Malin B, Wei W. Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation. Npj Digital Medicine 2024, 7: 46. PMID: 38409350, PMCID: PMC10897392, DOI: 10.1038/s41746-024-01038-3.Peer-Reviewed Original ResearchGenerative artificial intelligenceDrug repurposing candidatesAlzheimer's diseaseRepurposing candidatesSearch spaceGenerative AIArtificial intelligenceChatGPTAD riskClinical datasetsAssociated with lower AD riskLower AD riskDrug repurposingDrug developmentAlzheimerTreatment of diseasesTechnologyDatasetIntelligenceHRVEST: a novel data solution for using wearable smart technology to measure physiologic stress variables during a randomized clinical trial
Gerwin J, de Oliveira Almeida G, Boyce M, Joseph M, Wong A, Burleson W, Evans L. HRVEST: a novel data solution for using wearable smart technology to measure physiologic stress variables during a randomized clinical trial. Frontiers In Computer Science 2024, 6: 1343139. DOI: 10.3389/fcomp.2024.1343139.Peer-Reviewed Original ResearchWearable smart garmentsSmart garmentsNovel algorithmRaw physiological dataData solutionsElectrocardiogram (ECGData processing algorithmsReal-time feedbackWearable technologyBiometric dataNoise-filteringProprietary softwareProposed solutionsData challengeSmart technologiesRaw dataAlgorithmDataAnalytical softwareSoftwarePhysiological dataTechnologyBreak-takingDecision-makingHeart rate variabilityChapter 38 Cybersecurity and blockchain in cardiology
Hall E. Chapter 38 Cybersecurity and blockchain in cardiology. 2024, 367-370. DOI: 10.1016/b978-0-323-90534-3.00006-8.Peer-Reviewed Original ResearchTransforming membrane distillation to a membraneless fabric distillation for desalination
Chen Y, Yang S, Wang Z, Elimelech M. Transforming membrane distillation to a membraneless fabric distillation for desalination. Nature Water 2024, 2: 52-61. DOI: 10.1038/s44221-023-00174-6.Peer-Reviewed Original ResearchThermal desalination technologiesMembrane distillationDesalination technologiesHydrophobic membraneSimilar working principleDesalination performanceWorking principlesDesalinationHydrophilic fabricsDistillationPractical applicationsExperimental demonstrationHydrophilic cottonFabricSaline brinesTechnologyBrine
2023
3D hepatic organoid production from human pluripotent stem cells
Jin Z, Xu K, Kim J, Guo H, Yao X, Xu Y, Li Y, Ryu D, Kim K, Hong K, Kim Y, Wang L, Cao Q, Kim K, Kim N, Han D. 3D hepatic organoid production from human pluripotent stem cells. Differentiation 2023, 135: 100742. PMID: 38104501, DOI: 10.1016/j.diff.2023.100742.Peer-Reviewed Original ResearchPluripotent stem cellsHuman pluripotent stem cellsHepatic organoidsStem cellsNovel platformOrganoid productionClinical translationHepatic functionalityToxicity screeningDifferentiation procedureOrganoid technologySpontaneous formationProtocolTechnologyOptimal concentrationFunctionalityPlatformIndustrial settingsOrganoidsProductionPSCThe Use of Computer Navigation and Robotic Technology in Complex Total Hip Arthroplasty.
Ross K, Wiznia D, Long W, Schwarzkopf R. The Use of Computer Navigation and Robotic Technology in Complex Total Hip Arthroplasty. Bulletin Of The NYU Hospital For Joint Disease 2023, 81: 232-239. PMID: 37979140.Peer-Reviewed Original ResearchConceptsTotal hip arthroplastyCAS navigationRobotic technologySurgical navigationNavigationHip arthroplastySignificant leg length discrepancyComplex total hip arthroplastyRobot-assisted total hip arthroplastyRobotic-assisted total hip arthroplastyConventional total hip arthroplastyLeg length discrepancyTechnologyCases of deformityComputer navigationComponent accuracyComplex casesComputerOperative timePreoperative deformityLength discrepancyPossible complicationsAccurate component positioningTha dataRevision casesDevelopment of a sports technology quality framework
Robertson S, Zendler J, De Mey K, Haycraft J, Ash G, Brockett C, Seshadri D, Woods C, Kober L, Aughey R, Rogowski J. Development of a sports technology quality framework. Journal Of Sports Sciences 2023, 41: 1983-1993. PMID: 38305379, DOI: 10.1080/02640414.2024.2308435.Peer-Reviewed Original ResearchConceptsSports technologySport stakeholdersPurchasing decisionsSports industrySportsTwo-round Delphi surveyQuality frameworkOrganisationsDecision-makingReview of standardsIndustryEvaluation technologyDelphi surveyInvestorsIndustry standardsFrameworkTechnologyPurchaseConsumersStakeholdersDecisionDataEvidence-based frameworkManufacturingSurveyUsing XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding
Draschkow D, Anderson N, David E, Gauge N, Kingstone A, Kumle L, Laurent X, Nobre A, Shiels S, Võ M. Using XR (Extended Reality) for Behavioral, Clinical, and Learning Sciences Requires Updates in Infrastructure and Funding. Policy Insights From The Behavioral And Brain Sciences 2023, 10: 317-323. PMID: 37900910, PMCID: PMC10602770, DOI: 10.1177/23727322231196305.Peer-Reviewed Original ResearchLeveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration
Yu P, Xu H, Hu X, Deng C. Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration. Healthcare 2023, 11: 2776. PMID: 37893850, PMCID: PMC10606429, DOI: 10.3390/healthcare11202776.Peer-Reviewed Original ResearchLarge language modelsGenerative artificial intelligenceArtificial intelligenceLanguage modelInformation retrievalAI systemsShot learningData managementHuman feedbackReinforcement learningInformation managementSystem implementationCo-design processData acquisitionComprehensive roadmapDecision-making processLearningTechnologyFull potentialHealthcareIntelligenceHealthcare qualityRetrievalIntegrationPromising advancementArtificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions
Samant S, Bakhos J, Wu W, Zhao S, Kassab G, Khan B, Panagopoulos A, Makadia J, Oguz U, Banga A, Fayaz M, Glass W, Chiastra C, Burzotta F, LaDisa J, Iaizzo P, Murasato Y, Dubini G, Migliavacca F, Mickley T, Bicek A, Fontana J, West N, Mortier P, Boyers P, Gold J, Anderson D, Tcheng J, Windle J, Samady H, Jaffer F, Desai N, Lansky A, Mena-Hurtado C, Abbott D, Brilakis E, Lassen J, Louvard Y, Stankovic G, Serruys P, Velazquez E, Elias P, Bhatt D, Dangas G, Chatzizisis Y. Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions. JACC Cardiovascular Interventions 2023, 16: 2479-2497. PMID: 37879802, DOI: 10.1016/j.jcin.2023.07.022.Peer-Reviewed Original ResearchConceptsArtificial intelligenceExtended realityVirtual clinical trialsComputer scientistsComputational technologiesIntelligenceMedical technology innovatorsTechnology innovatorsComputational simulationsTechnologyRealityApplicationsBiomedical engineersBioinformaticsSimulationsDevice industryVisualizationConstraintsEngineersExpertsRecent advancesPlanningObstaclesArtificial Intelligence to Improve Patient Understanding of Radiology Reports
Amin K, Khosla P, Doshi R, Chheang S, Forman H. Artificial Intelligence to Improve Patient Understanding of Radiology Reports. The Yale Journal Of Biology And Medicine 2023, 96: 407-417. PMID: 37780992, PMCID: PMC10524809, DOI: 10.59249/nkoy5498.Peer-Reviewed Original ResearchConceptsLarge language modelsArtificial intelligenceNatural language processing technologyLanguage processing technologyPhone numberAI technologyRadiology reportsRadiologist workflowLanguage modelQuick accessProcessing technologyIntelligenceDiagnostic imaging reportsNascent technologyFocused solutionsTechnologySignificant researchTechnical detailsCentury Cures ActResearch purposesAccurate communicationImaging reportsTarget audienceWorkflowCures Act
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