2025
Scientific Writing in the Era of Large Language Models: A Computational Analysis of AI- Versus Human-Created Content
Khera R, Pedroso A, Keloth V, Xu H, Silva G, Schwamm L. Scientific Writing in the Era of Large Language Models: A Computational Analysis of AI- Versus Human-Created Content. Stroke 2025, 56: 3078-3083. PMID: 40814778, DOI: 10.1161/strokeaha.125.051913.Peer-Reviewed Original ResearchConceptsLanguage modelArtificial intelligenceAI-generatedLinguistic featuresDetection toolsAI-generated contentHuman-written textLanguage perplexityHuman expertsPerformance of expertsLinguistic differencesScientific textsGrade levelWord countEssayLanguageScientific communicationScientific writingComputer synthesisHigher grade levelsTextScientific contentReadability scoresPerplexityFlesch-KincaidAutomated transformation of unstructured cardiovascular diagnostic reports into structured datasets using sequentially deployed large language models
Shankar S, Dhingra L, Aminorroaya A, Adejumo P, Nadkarni G, Xu H, Brandt C, Oikonomou E, Pedroso A, Khera R. Automated transformation of unstructured cardiovascular diagnostic reports into structured datasets using sequentially deployed large language models. European Heart Journal - Digital Health 2025, 6: 783-796. PMID: 40703108, PMCID: PMC12282380, DOI: 10.1093/ehjdh/ztaf030.Peer-Reviewed Original ResearchA FULLY AUTOMATED ELECTRONIC CLINICAL QUALITY MEASUREMENT FOR HEART FAILURE USING RETRIEVAL AUGMENTED GENERATION AND LARGE LANGUAGE MODELS (LLMS)
Adejumo P, Thangaraj P, Biswas D, Shankar S, Camargos A, Khera R. A FULLY AUTOMATED ELECTRONIC CLINICAL QUALITY MEASUREMENT FOR HEART FAILURE USING RETRIEVAL AUGMENTED GENERATION AND LARGE LANGUAGE MODELS (LLMS). Journal Of The American College Of Cardiology 2025, 85: 1372. DOI: 10.1016/s0735-1097(25)01856-x.Peer-Reviewed Original ResearchLanguage model
2024
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
Nargesi A, Adejumo P, Dhingra L, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni G, Lin Z, Ahmad F, Krumholz H, Khera R. Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing. JACC Heart Failure 2024, 13: 75-87. PMID: 39453355, DOI: 10.1016/j.jchf.2024.08.012.Peer-Reviewed Original ResearchReduced ejection fractionEjection fractionHeart failureLeft ventricular ejection fractionVentricular ejection fractionYale-New Haven HospitalIdentification of patientsCommunity hospitalIdentification of heart failureLanguage modelNorthwestern MedicineMeasure care qualityQuality of careNew Haven HospitalDeep learning-based natural language processingHFrEFGuideline-directed careDeep learning language modelsMIMIC-IIIDetect HFrEFNatural language processingReclassification improvementHospital dischargePatientsCare qualityReviewer Experience Detecting and Judging Human Versus Artificial Intelligence Content: The Stroke Journal Essay Contest
Silva G, Khera R, Schwamm L, Acampa M, Adelman E, Boltze J, Broderick J, Brodtmann A, Christensen H, Dalli L, Duncan K, Elgendy I, Ergul A, Goldstein L, Hinkle J, Johansen M, Jood K, Kasner S, Levine S, Li Z, Lip G, Marsh E, Muir K, Ospel J, Pera J, Quinn T, Räty S, Ranta A, Richards L, Romero J, Willey J, Hillis A, Veerbeek J. Reviewer Experience Detecting and Judging Human Versus Artificial Intelligence Content: The Stroke Journal Essay Contest. Stroke 2024, 55: 2573-2578. PMID: 39224979, PMCID: PMC11529699, DOI: 10.1161/strokeaha.124.045012.Peer-Reviewed Original ResearchConceptsArtificial intelligenceEditorial board membersAuthor typeTraditional peer reviewLanguage modelIntelligent contentAuthor attributionGeneral textAI expertiseHuman authorityImproved accuracyAuthor's identityAuthor's manuscriptScientific journalsEssay contestPeer reviewPerception of qualityAuthorshipNature of authorshipIntelligenceLLMScientific writingScientific essayEssay qualityEssayLocal large language models for privacy-preserving accelerated review of historic echocardiogram reports
Vaid A, Duong S, Lampert J, Kovatch P, Freeman R, Argulian E, Croft L, Lerakis S, Goldman M, Khera R, Nadkarni G. Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal Of The American Medical Informatics Association 2024, 31: 2097-2102. PMID: 38687616, PMCID: PMC11339495, DOI: 10.1093/jamia/ocae085.Peer-Reviewed Original ResearchLanguage modelEchocardiogram reportsGround-truth answersText similarity measuresMount Sinai Health SystemQuestion-answer pairsEnhancing clinical decision-makingSinai Health SystemIntervention identificationClinical decision-makingHealth systemPatient careComplex patient dataRelevant snippetsSimilarity measureComplex cardiac diseaseGround truth
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