Multitask Artificial Intelligence–Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs - Report - MDSpire

Multitask Artificial Intelligence–Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs

  • By

  • Hong-Mi Choi

  • Yerin Kim

  • Joonghee Kim

  • Jiesuck Park

  • In-Chang Hwang

  • Yun Young Choi

  • Ji Hyun Lee

  • Yeonyee E Yoon

  • Il-Young Oh

  • Goo-Yeong Cho

  • In-Ae Song

  • Youngjin Cho

  • June 17, 2026

  • 0 min

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AI-Enhanced Electrocardiogram Tool for Preoperative Cardiac Assessment

Overview

This study evaluates the use of an AI-enhanced electrocardiogram (ECG) tool for preoperative cardiac assessment in noncardiac surgeries. The findings indicate that AI-ECG can reduce unnecessary preoperative cardiovascular testing without increasing postoperative adverse outcomes.

Background

Preoperative cardiovascular testing is a significant healthcare burden, costing approximately $18 billion annually in the U.S. Accurate risk stratification is crucial due to the high morbidity and mortality associated with postoperative cardiovascular complications. Current guidelines recommend ECG use only in selected patients, yet its overuse persists in clinical practice.

Data Highlights

This study analyzed 46,135 ECG-surgery pairs from 41,218 patients to evaluate the effectiveness of AI-ECG in preoperative risk stratification.

Key Findings

  • AI-ECG was integrated into preoperative risk assessment workflows.
  • The study aimed to identify low-risk patients who may not require additional testing.
  • AI-ECG demonstrated potential in reducing low-yield preoperative cardiovascular testing.
  • No increase in postoperative adverse outcomes was observed with the use of AI-ECG.
  • The study was conducted at Seoul National University Bundang Hospital between 2020 and 2021.

Clinical Implications

The study provides insights into the potential role of AI-ECG in identifying low-risk patients for postoperative complications.

Conclusion

The study indicates that AI-enhanced ECG tools may improve preoperative assessments.

Related Resources & Content

  1. npj Digital Medicine, 2025 -- Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial
  2. Surgical Endoscopy, 2025 -- Post-Operative Analysis of Electrosurgical Device Utilization Through an Energy Dashboard
  3. Surgical Endoscopy, 2023 -- Exploring Intraoperative Errors: Analyzing Electrokardiograms to Assess Surgeon Performance in Robot-Assisted Surgical Simulations
  4. npj Digital Medicine, 2026 -- Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization
  5. American College of Cardiology, 2024 -- 2024 AHA/ACC Perioperative CV Management Guideline: Key Points
  6. npj Digital Medicine, 2025 -- External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram
  7. 2024 AHA/ACC Perioperative CV Management Guideline: Key Points - American College of Cardiology
  8. External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram | npj Digital Medicine

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