Shaan Khurshid
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View article: Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk
Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk Open
The genetic influences on normal aortic valve function and their impact on aortic stenosis risk are of substantial interest. We used deep learning to measure peak velocity, mean gradient and aortic valve area from magnetic resonance imagin…
View article: Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial
Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial Open
Whether artificial intelligence (AI) analysis of single-lead ECG (1 L ECG) can predict incident AF is unknown. In the VITAL-AF trial (ClinicalTrials.gov NCT03515057, registered 2/24/2021) of primary care patients aged ≥65 years undergoing …
View article: Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation
Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation Open
Importance Atrial fibrillation (AF) has a complex genetic architecture involving common, rare, and somatic variants. The association between these components requires further investigation. Objective To examine the individual and combined …
View article: Cardiology Knowledge Assessment of Retrieval-Augmented Open versus Proprietary Large Language Models
Cardiology Knowledge Assessment of Retrieval-Augmented Open versus Proprietary Large Language Models Open
Objectives To evaluate the performance of open and proprietary LLMs, with and without Retrieval-Augmented Generation (RAG), on cardiology board-style questions and benchmark them against the human average. Materials and Methods We tested 1…
View article: Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease
Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease Open
Artificial intelligence-enabled analysis of the ECG may facilitate identification of individuals with possible undiagnosed CAD and inform downstream testing and preventive measures.
View article: Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation models
Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation models Open
Background The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostics, yet existing artificial intelligence (AI) solutions for automated interpretation often lack generalizability, remain closed-source, and are primar…
View article: “Weekend Warrior” Physical Activity and Adipose Tissue Deposition
“Weekend Warrior” Physical Activity and Adipose Tissue Deposition Open
Guideline-adherent physical activity is associated with favorable quantitative measures of cardiometabolic health, with no differences based on activity pattern for a given activity volume.
View article: Predicting Atrial Fibrillation After Stroke by Combining Polygenic Risk Scores and Clinical Features
Predicting Atrial Fibrillation After Stroke by Combining Polygenic Risk Scores and Clinical Features Open
BACKGROUND: Because treatment with anticoagulants can prevent recurrent strokes, identification of patients at risk for incident atrial fibrillation (AF) after stroke is crucial. We aimed to investigate whether the addition of AF polygenic…
View article: Contemporary Burden of Cardiovascular Disease in Pregnancy: Insights from a Real-World Pregnancy Electronic Health Record Cohort
Contemporary Burden of Cardiovascular Disease in Pregnancy: Insights from a Real-World Pregnancy Electronic Health Record Cohort Open
Importance Cardiovascular disease (CVD) is the leading cause of maternal morbidity and mortality, however the contemporary burden and secular trends in pregnancy-related CV complications are not well characterized. Objective We sought to e…
View article: Unsupervised deep learning of electrocardiograms enables scalable human disease profiling
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling Open
The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically …
View article: The impact of common and rare genetic variants on bradyarrhythmia development
The impact of common and rare genetic variants on bradyarrhythmia development Open
To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dy…
View article: Another piece in the puzzle of atrial fibrillation risk: clinical, genetic, and electrocardiogram-based artificial intelligence
Another piece in the puzzle of atrial fibrillation risk: clinical, genetic, and electrocardiogram-based artificial intelligence Open
Graphical AbstractCurrent concepts and open questions in atrial fibrillation risk assessment. The figure summarizes the concepts investigated in the study by Jabbour et al. and open questions in integrated AF risk estimation. ECG, electroc…
View article: An Ounce of Prevention for a Pound of Cure?
An Ounce of Prevention for a Pound of Cure? Open
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View article: Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health
Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health Open
BACKGROUND: Achievement of guideline-recommended levels of physical activity (≥150 minutes of moderate-to-vigorous physical activity per week) is associated with lower risk of adverse cardiovascular events and represents an important publi…
View article: ASSOCIATION OF THYROID FUNCTION TEST WITH POST-COVID-19 PCR-NEGATIVE PATIENTS
ASSOCIATION OF THYROID FUNCTION TEST WITH POST-COVID-19 PCR-NEGATIVE PATIENTS Open
Background: Corona virus diseases-19 (COVID-19) infection has shown many complications in all organ systems, like thyroid gland, during the acute phase and in the post-COVID-19 period. The aim of this study was to find the risk of hypo-fun…
View article: Rare Genetic Variants in <i>LDLR</i> , <i>APOB</i> , and <i>PCSK9</i> Are Associated With Aortic Stenosis
Rare Genetic Variants in <i>LDLR</i> , <i>APOB</i> , and <i>PCSK9</i> Are Associated With Aortic Stenosis Open
BACKGROUND: Despite a proposed causal role for LDL-C (low-density lipoprotein cholesterol) in aortic stenosis (AS), randomized controlled trials of lipid-lowering therapy failed to prevent severe AS. We aimed to assess the impact on AS and…
View article: Integrating Clinical, Genetic, and Electrocardiogram-Based Artificial Intelligence to Estimate Risk of Incident Atrial Fibrillation
Integrating Clinical, Genetic, and Electrocardiogram-Based Artificial Intelligence to Estimate Risk of Incident Atrial Fibrillation Open
Background AF risk estimation is feasible using clinical factors, inherited predisposition, and artificial intelligence (AI)-enabled electrocardiogram (ECG) analysis. Objective To test whether integrating these distinct risk signals improv…
View article: The AORTA Gene score for detection and risk stratification of ascending aortic dilation
The AORTA Gene score for detection and risk stratification of ascending aortic dilation Open
Background and Aims This study assessed whether a model incorporating clinical features and a polygenic score for ascending aortic diameter would improve diameter estimation and prediction of adverse thoracic aortic events over clinical fe…
View article: MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease
MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease Open
Coronary artery disease (CAD) is the leading cause of death among adults worldwide. Accurate risk stratification can support optimal lifetime prevention. Current methods lack the ability to incorporate new information throughout the life c…