Veer Sangha

2025

• Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms

  Dhingra L, Aminorroaya A, Pedroso A, Khunte A, Sangha V, McIntyre D, Chow C, Asselbergs F, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms. JAMA Cardiology 2025, 10: 574-584. PMID: 40238120, PMCID: PMC12004248, DOI: 10.1001/jamacardio.2025.0492.

  Peer-Reviewed Original Research

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  Concepts

• Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD

  Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Shankar S, Coppi A, Foppa M, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD. Journal Of The American College Of Cardiology 2025, 85: 1302-1313. PMID: 40139886, PMCID: PMC12199746, DOI: 10.1016/j.jacc.2025.01.030.

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  MeSH Keywords and Concepts

• AUTOMATED DETECTION OF OCCLUSIVE MYOCARDIAL INFARCTION FROM IMAGES OF ELECTROCARDIOGRAMS USING DEEP LEARNING

  Dhingra L, Shankar S, Biswas D, Aminorroaya A, Sangha V, Camargos A, Oikonomou E, Khera R. AUTOMATED DETECTION OF OCCLUSIVE MYOCARDIAL INFARCTION FROM IMAGES OF ELECTROCARDIOGRAMS USING DEEP LEARNING. Journal Of The American College Of Cardiology 2025, 85: 1756. DOI: 10.1016/s0735-1097(25)02240-5.

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• DEVELOPMENT AND MULTINATIONAL VALIDATION OF A DEEP LEARNING ALGORITHM TO DETECT AND PREDICT ATRIAL FIBRILLATION AND FLUTTER FROM IMAGES OF 12-LEAD ELECTROCARDIOGRAMS IN SINUS RHYTHM

  Aminorroaya A, Dhingra L, Camargos A, Sangha V, Oikonomou E, Khera R. DEVELOPMENT AND MULTINATIONAL VALIDATION OF A DEEP LEARNING ALGORITHM TO DETECT AND PREDICT ATRIAL FIBRILLATION AND FLUTTER FROM IMAGES OF 12-LEAD ELECTROCARDIOGRAMS IN SINUS RHYTHM. Journal Of The American College Of Cardiology 2025, 85: 3. DOI: 10.1016/s0735-1097(25)00488-7.

  Peer-Reviewed Original Research

• AN AI-ENABLED DIGITAL TWIN STRATEGY FOR CAUSAL INFERENCE USING MULTIDIMENSIONAL EMBEDDINGS OF DIGITAL OBSERVATIONAL DATA: AN APPLICATION TO REPLICATE THE ARRIVE TRIAL IN A REAL-WORLD SETTING

  Biswas D, Aminorroaya A, Sangha V, Thangaraj P, Dhingra L, Elangovan A, Camargos A, Oikonomou E, Khera R. AN AI-ENABLED DIGITAL TWIN STRATEGY FOR CAUSAL INFERENCE USING MULTIDIMENSIONAL EMBEDDINGS OF DIGITAL OBSERVATIONAL DATA: AN APPLICATION TO REPLICATE THE ARRIVE TRIAL IN A REAL-WORLD SETTING. Journal Of The American College Of Cardiology 2025, 85: 2831. DOI: 10.1016/s0735-1097(25)03315-7.

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• MULTINATIONAL VALIDATION OF A DEEP LEARNING ALGORITHM TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY FROM ELECTROCARDIOGRAPHIC IMAGES

  Sangha V, Dhingra L, Aminorroaya A, Croon P, Asselbergs F, Oikonomou E, Khera R. MULTINATIONAL VALIDATION OF A DEEP LEARNING ALGORITHM TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY FROM ELECTROCARDIOGRAPHIC IMAGES. Journal Of The American College Of Cardiology 2025, 85: 1248. DOI: 10.1016/s0735-1097(25)01732-2.

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• MULTINATIONAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE ALGORITHM TO IDENTIFY ATTR CARDIOMYOPATHY FROM ELECTROCARDIOGRAPHIC IMAGES

  Sangha V, Antonopoulos A, Kourti F, Vlachopoulos C, Singh A, Benedictus S, Stern D, Krumholz H, Oikonomou E, Khera R. MULTINATIONAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE ALGORITHM TO IDENTIFY ATTR CARDIOMYOPATHY FROM ELECTROCARDIOGRAPHIC IMAGES. Journal Of The American College Of Cardiology 2025, 85: 1176. DOI: 10.1016/s0735-1097(25)01660-2.

  Peer-Reviewed Original Research

• LARGE SCALE MULTISITE VALIDATION OF A DEEP LEARNING ALGORITHM TO IDENTIFY LEFT VENTRICULAR SYSTOLIC DYSFUNCTION FROM ELECTROCARDIOGRAPHIC IMAGES

  Sangha V, Dhingra L, Shahrabani E, Ansari S, Wood I, Nallamothu B, Vaid A, Nadkarni G, Khera R. LARGE SCALE MULTISITE VALIDATION OF A DEEP LEARNING ALGORITHM TO IDENTIFY LEFT VENTRICULAR SYSTOLIC DYSFUNCTION FROM ELECTROCARDIOGRAPHIC IMAGES. Journal Of The American College Of Cardiology 2025, 85: 2839. DOI: 10.1016/s0735-1097(25)03323-6.

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• DOMAIN-SPECIFIC AND SHARED PHENOMIC ASSOCIATIONS OF ARTIFICIAL INTELLIGENCEENHANCED INTERPRETATION OF ELECTROCARDIOGRAMS: A PHENOME-WIDE ASSOCIATION STUDY (PHEWAS) IN THE UK BIOBANK

  Croon P, Dhingra L, Sangha V, Oikonomou E, Khera R. DOMAIN-SPECIFIC AND SHARED PHENOMIC ASSOCIATIONS OF ARTIFICIAL INTELLIGENCEENHANCED INTERPRETATION OF ELECTROCARDIOGRAMS: A PHENOME-WIDE ASSOCIATION STUDY (PHEWAS) IN THE UK BIOBANK. Journal Of The American College Of Cardiology 2025, 85: 2029. DOI: 10.1016/s0735-1097(25)02513-6.

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• ARTIFICIAL INTELLIGENCE-GUIDED MULTIMODALITY SCREENING OF PROBABLE TRANSTHYRETIN AMYLOID CARDIOMYOPATHY: A REPORT FROM THE TRACE-AI STUDY

  Oikonomou E, Sangha V, Camargos A, Miller E, Kattan C, Khera R. ARTIFICIAL INTELLIGENCE-GUIDED MULTIMODALITY SCREENING OF PROBABLE TRANSTHYRETIN AMYLOID CARDIOMYOPATHY: A REPORT FROM THE TRACE-AI STUDY. Journal Of The American College Of Cardiology 2025, 85: 1182. DOI: 10.1016/s0735-1097(25)01666-3.

  Peer-Reviewed Original Research