Shaan Khurshid

Shaan Khurshid

Harvard University

H-index: 21

North America-United States

About Shaan Khurshid

Shaan Khurshid, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Cardiology, Clinical Electrophysiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care System

Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise

Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF Trial

Keeping to the rhythm of cardiovascular health

Natural language processing for adjudication of heart failure in a multicenter clinical trial: a secondary analysis of a randomized clinical trial

The use of artificial intelligence to predict the development of atrial fibrillation

Genetics of myocardial interstitial fibrosis in the human heart and association with disease

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Shaan Khurshid Information

University

Position

Cardiology Fellow, Massachusetts General Hospital

Citations(all)

2264

Citations(since 2020)

1954

Cited By

742

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

34

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Shaan Khurshid Skills & Research Interests

Cardiology

Clinical Electrophysiology

Top articles of Shaan Khurshid

Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care System

Journal of the American Heart Association

2024/1/2

Shaan Khurshid
Shaan Khurshid

H-Index: 10

Deep learned representations of the resting 12-lead electrocardiogram to predict at peak exercise

European Journal of Preventive Cardiology

2024/1

Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF Trial

Heart Rhythm

2024/4/29

Shaan Khurshid
Shaan Khurshid

H-Index: 10

Keeping to the rhythm of cardiovascular health

2024/4

Shaan Khurshid
Shaan Khurshid

H-Index: 10

Natural language processing for adjudication of heart failure in a multicenter clinical trial: a secondary analysis of a randomized clinical trial

JAMA cardiology

2024

The use of artificial intelligence to predict the development of atrial fibrillation

Annals of emergency medicine

2022/2/1

Genetics of myocardial interstitial fibrosis in the human heart and association with disease

Nature Genetics

2023/4/20

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Nature Communications

2023/4/28

Interactive subgroup discovery

2023/4/13

Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes

Journal of the American College of Cardiology

2023/11/14

Artificial intelligence–enabled classification of hypertrophic heart diseases using electrocardiograms

Cardiovascular Digital Health Journal

2023/4/1

MSGene: Derivation and validation of a multistate model for lifetime risk of coronary artery disease using genetic risk and the electronic health record

medRxiv

2023/11/8

How often is occult atrial fibrillation in cryptogenic stroke causal vs. incidental? A meta-analysis

2023/3/14

Abnormal Single-Lead Electrocardiograms Predict Future Atrial Fibrillation Risk: The VITAL-AF Trial

Circulation

2023/11/7

Shaan Khurshid
Shaan Khurshid

H-Index: 10

ADJUDICATION OF HEART FAILURE HOSPITALIZATION USING NATURAL LANGUAGE PROCESSING IN THE ELECTRONIC HEALTH RECORD

Journal of the American College of Cardiology

2023/3/7

Electrocardiogram-Based Artificial Intelligence Predicts Incident Heart Failure

Circulation

2023/11/7

ATLAS OF RISK FACTORS AND CARDIAC MORPHOLOGICAL TRAITS USING DEEP LEARNING AND MENDELIAN RANDOMIZATION

Journal of the American College of Cardiology

2023/3/7

Shaan Khurshid
Shaan Khurshid

H-Index: 10

RV SIZE MEASURED BY DEEP LEARNING PREDICTS ATRIAL FIBRILLATION, HEART FAILURE AND MORTALITY

Journal of the American College of Cardiology

2023/3/7

Clinical and Genetic Associations of Deep-Learning Estimated Peak Oxygen Consumption From the Resting 12-Lead Electrocardiogram

Nature communications

2023/3/21

Prevalence and incidence of atrial fibrillation among older primary care patients

JAMA Network Open

2023/2/1

Shaan Khurshid
Shaan Khurshid

H-Index: 10

See List of Professors in Shaan Khurshid University(Harvard University)