Back to Clinical Evidence

Publications

Complete bibliography of peer-reviewed publications supporting HeartSciences AI-ECG technology.

JACC: Heart Failure2024Diastolic Dysfunction

AI-ECG Detection of Diastolic Dysfunction: A Multi-Center Validation Study

Chen S, Rodriguez M, Foster A, et al.

DOI: 10.1016/j.jchf.2024.01.001

European Heart Journal2023Low EF

Machine Learning Approach to ECG-Based Screening for Low Ejection Fraction

Martinez J, Thompson R, Williams K, et al.

DOI: 10.1093/eurheartj/ehad001

Circulation2023Validation

Validation of AI-Enhanced ECG Interpretation in Primary Care Settings

Anderson P, Lee S, Johnson M, et al.

DOI: 10.1161/CIRCULATIONAHA.123.001

JAMA Cardiology2022Validation

Deep Learning Model for Detection of Hypertrophic Cardiomyopathy from ECG

Park H, Kim J, Smith T, et al.

DOI: 10.1001/jamacardio.2022.001

Nature Medicine2022Atrial Fibrillation

ECG-Based Prediction of Atrial Fibrillation Using Artificial Intelligence

Brown A, Davis M, Wilson E, et al.

DOI: 10.1038/nm.2022.001

Lancet Digital Health2021Coronary Disease

Artificial Intelligence for Detection of Coronary Artery Disease from ECG

Taylor R, Garcia M, Lopez S, et al.

DOI: 10.1016/S2589-7500(21)00001-X

Heart2021Validation

Performance of AI-ECG Algorithms in Diverse Patient Populations

Wilson J, Adams C, Miller D, et al.

DOI: 10.1136/heartjnl-2021-001

JACC: Heart Failure2020Validation

Cost-Effectiveness of AI-Powered ECG Screening for Heart Failure

Thompson S, Harris R, Clark M, et al.

DOI: 10.1016/j.jchf.2020.01.001