Veer Sangha
Research
Publications
2024
Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.
Oikonomou E, Sangha V, Dhingra L, Aminorroaya A, Coppi A, Krumholz H, Baldassarre L, Khera R. Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images. Circulation Cardiovascular Quality And Outcomes 2024 PMID: 39221857, DOI: 10.1161/circoutcomes.124.011504.Peer-Reviewed Original ResearchCancer therapeutics-related cardiac dysfunctionGlobal longitudinal strainLeft ventricular systolic dysfunctionCardiac dysfunctionBreast cancerNon-Hodgkin lymphoma therapyNon-Hodgkin's lymphomaVentricular systolic dysfunctionAssociated with worse global longitudinal strainRisk stratification strategiesHigh-risk groupMonths post-treatmentPost hoc analysisElectrocardiographic (ECGTrastuzumab exposureLymphoma therapySystolic dysfunctionAI-ECGBefore treatmentRisk biomarkersLongitudinal strainLow riskStratification strategiesHigher incidencePositive screenHEART FAILURE RISK PREDICTION USING ARTIFICIAL INTELLIGENCE ON ECG PHOTOS IN LARGE CONTEMPORARY COHORT
Dhingra L, Sangha V, Aminorroaya A, Camargos A, Oikonomou E, Khera R. HEART FAILURE RISK PREDICTION USING ARTIFICIAL INTELLIGENCE ON ECG PHOTOS IN LARGE CONTEMPORARY COHORT. Journal Of The American College Of Cardiology 2024, 83: 277. DOI: 10.1016/s0735-1097(24)02267-8.Peer-Reviewed Original ResearchUSING PHOTOS OF ELECTROCARDIOGRAMS AS A BIOMARKER FOR CARDIOVASCULAR RISK - A MULTINATIONAL ASSESSMENT OF A NOVEL ARTIFICIAL INTELLIGENCE APPROACH
Sangha V, Dhingra L, Aminorroaya A, Khera R. USING PHOTOS OF ELECTROCARDIOGRAMS AS A BIOMARKER FOR CARDIOVASCULAR RISK - A MULTINATIONAL ASSESSMENT OF A NOVEL ARTIFICIAL INTELLIGENCE APPROACH. Journal Of The American College Of Cardiology 2024, 83: 2443. DOI: 10.1016/s0735-1097(24)04433-4.Peer-Reviewed Original ResearchA WEARABLE-ADAPTED ARTIFICIAL INTELLIGENCE ALGORITHM FOR HEART FAILURE PREDICTION FROM SINGLE-LEAD ELECTROCARDIOGRAMS IN A LARGE NATIONWIDE COHORT STUDY
Dhingra L, Aminorroaya A, Oikonomou E, Sangha V, Khunte A, Khera R. A WEARABLE-ADAPTED ARTIFICIAL INTELLIGENCE ALGORITHM FOR HEART FAILURE PREDICTION FROM SINGLE-LEAD ELECTROCARDIOGRAMS IN A LARGE NATIONWIDE COHORT STUDY. Journal Of The American College Of Cardiology 2024, 83: 2341. DOI: 10.1016/s0735-1097(24)04331-6.Peer-Reviewed Original ResearchBiometric contrastive learning for data-efficient deep learning from electrocardiographic images
Sangha V, Khunte A, Holste G, Mortazavi B, Wang Z, Oikonomou E, Khera R. Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. Journal Of The American Medical Informatics Association 2024, 31: 855-865. PMID: 38269618, PMCID: PMC10990541, DOI: 10.1093/jamia/ocae002.Peer-Reviewed Original ResearchLabeled training dataContrastive learningECG imagesLabeled dataTraining dataDeep learningProportions of labeled dataArtificial intelligenceSelf-supervised contrastive learningTraditional supervised learningConvolutional neural networkHeld-out test setSupervised learningPretraining strategyBiometric signatureImageNet initializationPretraining approachNeural networkImageNetAI modelsImage objectsTest setLearningDetect atrial fibrillationEquivalent performance
2023
Augmenting reality in echocardiography
Sangha V. Augmenting reality in echocardiography. Heart 2023, 110: 387-388. PMID: 37940380, DOI: 10.1136/heartjnl-2023-323443.Peer-Reviewed Original ResearchDetection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A, Mortazavi B, Coppi A, Brandt C, Krumholz H, Khera R. Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. Npj Digital Medicine 2023, 6: 124. PMID: 37433874, PMCID: PMC10336107, DOI: 10.1038/s41746-023-00869-w.Peer-Reviewed Original ResearchArtificial intelligenceRandom Gaussian noiseNoisy electrocardiogramGaussian noiseElectrocardiogram (ECGWearable devicesSingle-lead electrocardiogramPortable devicesSNRWearableNoiseDevice noiseRepositoryAI-based screeningIntelligenceDetectionDevicesNoise sourcesVentricular systolic dysfunctionModelElectrocardiogramSingle-lead electrocardiographyTrainingDEEP LEARNING-BASED DETECTION OF LEFT VENTRICULAR SYSTOLIC DYSFUNCTION FROM NOISY SINGLE LEAD ELECTROCARDIOGRAPHY ADAPTED FOR WEARABLE DEVICES
Khunte A, Sangha V, Dhingra L, Oikonomou E, Mortazavi B, Khera R. DEEP LEARNING-BASED DETECTION OF LEFT VENTRICULAR SYSTOLIC DYSFUNCTION FROM NOISY SINGLE LEAD ELECTROCARDIOGRAPHY ADAPTED FOR WEARABLE DEVICES. Journal Of The American College Of Cardiology 2023, 81: 2262. DOI: 10.1016/s0735-1097(23)02706-7.Peer-Reviewed Original ResearchSMART-AS: A NOVEL ARTIFICIAL INTELLIGENCE TOOL TO DETECT SEVERE AORTIC STENOSIS FROM ELECTROCARDIOGRAPHIC IMAGES
Sangha V, Oikonomou E, Khunte A, Gupta K, Mortazavi B, Khera R. SMART-AS: A NOVEL ARTIFICIAL INTELLIGENCE TOOL TO DETECT SEVERE AORTIC STENOSIS FROM ELECTROCARDIOGRAPHIC IMAGES. Journal Of The American College Of Cardiology 2023, 81: 2409. DOI: 10.1016/s0735-1097(23)02853-x.Peer-Reviewed Original ResearchBIOMETRIC CONTRASTIVE MODELING FOR DATA-EFFICIENT DEEP LEARNING FROM ELECTROCARDIOGRAPHIC IMAGES
Sangha V, Khunte A, Holste G, Mortazavi B, Wang Z, Oikonomou E, Khera R. BIOMETRIC CONTRASTIVE MODELING FOR DATA-EFFICIENT DEEP LEARNING FROM ELECTROCARDIOGRAPHIC IMAGES. Journal Of The American College Of Cardiology 2023, 81: 2403. DOI: 10.1016/s0735-1097(23)02847-4.Peer-Reviewed Original Research
News
News
- November 05, 2024
Yale Researchers at American Heart Association Scientific Session 2024
- August 06, 2024
Yale Researchers at European Society of Cardiology Conference 2024
- April 01, 2024
Yale Faculty Present Groundbreaking Clinical Research at the 2024 American College of Cardiology Scientific Sessions
- November 20, 2023
Yale Researchers Wield AI for Heart Health