Multitask Artificial Intelligence–Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs - Takeaways - 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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  • 1

    Over 200 million noncardiac surgeries are performed annually, with preoperative cardiovascular testing costing approximately $18 billion in the U.S.

  • 2

    Existing risk-estimation tools for perioperative cardiovascular risk are often overused and do not eliminate the risk of adverse outcomes.

  • 3

    AI-enhanced electrocardiography (ECG) has potential for improved preoperative risk stratification in noncardiac surgeries.

  • 4

    The study analyzed 46,135 ECG-surgery pairs from 41,218 patients to evaluate the effectiveness of AI-ECG in reducing unnecessary testing.

  • 5

    The AI-ECG model utilized deep learning to generate probability scores for various cardiac conditions based on 12-lead ECG images.

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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