Publications

This study demonstrates that AI applied to routine ECGs can identify asymptomatic left ventricular dysfunction (ALVD) with high accuracy, achieving an AUC of 0.93, sensitivity of 86.3%, and specificity of 85.7%. In patients without current dysfunction, a positive AI screen indicated a fourfold incre… Read More

Mayo Clinic Proceedings: Digital Healt

October 25, 2024

This study assessed the effects of gender-affirming hormone therapy (GAHT) on ECG patterns in transgender individuals using an AI algorithm. Among transgender women (TGW), GAHT significantly lowered the probability of a male ECG pattern, while among transgender men (TGM), it increased the probabilit… Read More

European Heart Journal

October 14, 2024

This study evaluated echocardiographic characteristics and mortality risk in patients with false positive (FP) results from an AI-based ECG model that detects low ejection fraction (EF). FP patients had more echocardiographic abnormalities than true negatives (TN), and 97% of them showed some abnorm… Read More

ScienceDirect

September 27, 2024

This study in Nigeria investigated AI-guided screening for diagnosing left ventricular systolic dysfunction (LVSD) in pregnant and postpartum women. Participants were randomized to either AI screening using digital stethoscopes and ECGs or usual care, with 3.4% in the AI group and 2.0% in the contro… Read More

Nature Medicine

September 1, 2024

This study aimed to assess if a previously validated AI-enhanced ECG model (A2E) could predict survival in patients with cardiac amyloidosis (CA). Among 2,533 patients with different types of CA, the A2E score was significantly associated with increased risk of death, with a more than two-fold risk… Read More

Wiley Online Library

August 30, 2024