AI-ECG risk estimator

1. AI-ECG risk estimator predicts heart failure in humans (BIDMC C-index 0.787 (95% CI 0.785–0.789); UKB 0.768 (95% CI 0.733–0.802)).

   “future heart failure (0·787, 0·785-0·789; 0·768, 0·733-0·802)”

   HumansBIDMC and UK Biobank

   Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

   The Lancet. Digital health·1 Nov 2024

More on Heart failure

1. AI-ECG risk estimator predicts atherosclerotic cardiovascular disease in humans (BIDMC C-index 0.696 (95% CI 0.694–0.698); UKB 0.643 (95% CI 0.624–0.662)).

   “future atherosclerotic cardiovascular disease (0·696, 0·694-0·698; 0·643, 0·624-0·662)”

   HumansBIDMC and UK Biobank

   Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

   The Lancet. Digital health·1 Nov 2024

More on Atherosclerotic cardiovascular disease

1. AI-ECG risk estimator predicts ventricular arrhythmia in humans (BIDMC C-index 0.760 (95% CI 0.756–0.763); UKB 0.719 (95% CI 0.635–0.803)).

   “future ventricular arrhythmia (BIDMC C-index 0·760, 95% CI 0·756-0·763; UKB C-index 0·719, 95% CI 0·635-0·803)”

   HumansBIDMC and UK Biobank

   Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

   The Lancet. Digital health·1 Nov 2024

More on Ventricular arrhythmia

1. AI-ECG risk estimator predicts mortality in humans (BIDMC C-index 0.775 (95% CI 0.773–0.776); external validation C-indices 0.638–0.773).

   “AIRE accurately predicts risk of all-cause mortality (BIDMC C-index 0·775, 95% CI 0·773-0·776; C-indices on external validation datasets 0·638-0·773)”

   HumansBIDMC secondary care datasetn = 189,539

   Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

   The Lancet. Digital health·1 Nov 2024