Related Experiment Video
Updated: Aug 27, 2026
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic
Kevin Nathaniel Cuandra1, Christopher Daniel Tristan2, Indah Kurnia Hutabarat3
1Faculty of Medicine, Universitas Andalas, Padang, Indonesia.
Introduction:
Artificial intelligence electrocardiogram (AI-ECG) interpretation has emerged as a promising approach to identify Brugada syndrome (BrS). This review sought to investigate diagnostic viability and clinical applicability of AI-ECG interpretation models for detecting BrS.
Methods:
A systematic search (PubMed, Scopus, and ScienceDirect) was conducted in November 2025. STATA/BE (v17.0) was used to pool the overall metrics of the quantitative diagnostic test accuracy meta-analysis.
Results:
Seven studies comprising 15 AI-model analyses were included. AI-ECG interpretation yielded a pooled sensitivity of 0.82 [0.77-0.87], specificity of 0.81 [0.73-0.87], negative likelihood ratio of 0.22 [0.16-0.29], positive likelihood ratio of 4.31 [2.94-6.33], and area under the curve of 0.88 [0.85-0.91]. Clinical applicability assessed using Fagan's nomogram showed minimal diagnostic value for general population screening (pretest probability 0.05%). However, in case-finding (5%) and high-risk scenarios (20%), positive results substantially increased posttest probability (to 18% and 52%, respectively), while negative results reduced it to 1% and 5%. Overall, the Fagan plot indicated a beneficial trend toward rule-in utility rather than rule-out utility.
Conclusion:
AI-ECG interpretation demonstrated a good overall diagnostic performance for detecting BrS and may serve as valuable decision-support assisting clinicians in clinically suspected or high-risk populations.
Protocol Registration:
www.crd.york.ac.uk/prospero identifier is CRD420261298566.
Related Concept Videos
01:29Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
01:30Acute Coronary Syndrome III: Diagnostic Studies
01:30Dysrhythmias V: Evaluating Dysrhythmias
01:25ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias
01:28Electrocardiogram Fundamentals
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin to...