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Updated: Jan 13, 2026
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
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AI-enabled electrocardiogram alert for potassium imbalance treatment: a pragmatic randomized controlled trial
Chin Lin1,2,3, Chin-Sheng Lin1,3,4, Sy-Jou Chen5,6
1Medical Technology Education Center, School of Medicine, College of Medicine, National Defense Medical University, Taipei, Taiwan, Republic of China.
Nature Communications
|January 8, 2026
Summary
AI-enabled electrocardiography alerts did not significantly improve overall dyskalemia treatment rates. However, the AI system did facilitate earlier hyperkalemia treatment in high-risk patients identified by ECG.
Area of Science:
- Emergency Medicine
- Cardiology
- Artificial Intelligence in Healthcare
Background:
- Life-threatening dyskalemia (abnormal serum potassium) is common in emergency settings.
- Timely recognition and treatment of dyskalemia are crucial.
- AI-enabled electrocardiography (ECG) shows potential for detecting dyskalemia.
Purpose of the Study:
- To evaluate if real-time AI-enabled ECG alerts improve physicians' management of dyskalemia.
- To assess the impact of AI alerts on hyperkalemia-related and hypokalemia-related treatment rates within three hours.
Main Methods:
- Pragmatic, open-label, randomized controlled trial with physician-level randomization.
- 70 emergency physicians (35 intervention, 35 control) cared for 14,989 patients.
- Intervention group received real-time AI ECG alerts for moderate-to-severe hyperkalemia or hypokalemia.
Main Results:
- No significant difference in overall hyperkalemia-related treatment rates (8.0% vs. 7.7%).
- No significant difference in overall hypokalemia-related treatment rates (2.1% vs. 2.4%).
- Significantly higher hyperkalemia treatment in the intervention group for AI-identified hyperkalemia patients (69.1% vs. 41.6%).
Conclusions:
- Real-time AI-enabled ECG alerts did not improve overall dyskalemia treatment.
- AI alerts facilitated earlier treatment for patients identified as high-risk for hyperkalemia.
- AI-ECG shows promise for targeted intervention in specific high-risk patient groups.
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