Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!

ABSTRACT:

Objective

This study aims at evaluating if ChatGPT-based artificial intelligence (AI) models are effective in interpreting electrocardiograms (ECGs) and determine their accuracy as compared to those of cardiologists. The purpose is therefore to explore if ChatGPT can be employed for clinical setting, particularly where there are no available cardiologists.

Methods

A total of 107 ECG cases classified according to difficulty (simple, intermediate, complex) were analyzed using three AI models (GPT-ECGReader, GPT-ECGAnalyzer, GPT-ECGInterpreter) and compared with the performance of two cardiologists. The statistical analysis was conducted using chi-square and Fisher exact tests using scikit-learn library in Python 3.8.

Results

Cardiologists demonstrated superior accuracy

SUBMITTER: Camkıran V 

PROVIDER: S-EPMC11898233 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature