AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study - Scorecard - MDSpire

AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study

  • By

  • Shu-Chun Huang

  • Tieh-Cheng Fu

  • Michelle Liou

  • Yu-Chieh Huang

  • Sing-Ya Chang

  • Guan-Yi Huang

  • Hong-Ren Su

  • June 11, 2026

  • 0 min

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Clinical Scorecard: Development and Validation of an AI-Enhanced 12-Lead Electrocardiogram Algorithm for Forecasting Low Peak Oxygen Uptake

At a Glance

CategoryDetail
Condition
Key MechanismsUtilizes resting 12-lead ECG signals to estimate low peak V̇O2 through a neural network model.
Target Population
Care Setting

Key Highlights

    Guideline-Based Recommendations

    Diagnosis

      Management

        Monitoring & Follow-up

          Risks

            Patient & Prescribing Data

            Older adults and those with cardiopulmonary diseases.

            Timely identification of low peak V̇O2 enables targeted interventions.

            Clinical Best Practices

              Related Resources & Content

              Original Source(s)

              AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study

              • by Shu-Chun Huang, Tieh-Cheng Fu, Michelle Liou, Yu-Chieh Huang, Sing-Ya Chang, Guan-Yi Huang, Hong-Ren Su

              • June 11, 2026

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