Artificial intelligence-enhanced ECG score for perioperative risk assessment in non-cardiac surgery.

ABSTRACT:

Aims

The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncardiac surgery due to its low prognostic value. We aimed to evaluate the utility of an AI-enabled ECG (QCG-Critical score) in predicting 30-day postoperative mortality in non-cardiac surgery and compare its performance with traditional perioperative risk-assessment tools.

Methods and results

A retrospective cohort of 46 135 adults who underwent non-cardiac surgery at a tertiary centre between 2020 and 2021 was analysed. Preoperative ECG images acquired within 30 days before surgery were used as input to previously developed CNN-based deep-learning algorithm to generate QCG-Critical score that reflects the risk for critical illness. The primary outcome was 30-day mortality,

SUBMITTER: Choi HM 

PROVIDER: S-EPMC12897540 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature