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

To evaluate whether AI-ECG–based risk stratification could help decrease low-yield preoperative cardiovascular testing and reduce associated costs without increasing postoperative adverse outcomes in noncardiac surgery, and to identify a subgroup of cases with an extremely low risk of postoperative adverse outcomes.

Approach:
    Key Findings:
    • AI-enhanced ECG can potentially reduce unnecessary preoperative cardiovascular testing.
    • Integration of AI-ECG into preoperative risk assessment may identify low-risk patients effectively.
    Interpretation:

    The study suggests that AI-ECG could streamline preoperative assessments and optimize healthcare resource use.

    Limitations:
    • Retrospective design may introduce bias.
    • Single-center study limits generalizability.
    Conclusion:

    AI-ECG may improve preoperative cardiac assessment in noncardiac surgeries.

Original Source(s)

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

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