ArticleClinical kidney journal2025
Monitoring serum potassium concentration in patients with severe hyperkalemia: the role of bloodless artificial intelligence-enabled electrocardiography.
Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Multiple electrolyte imbalances in hospitalized patients: a multimorbidity perspective from a large, retrospective cohort study.Annals of medicine · 2026Article
- Review
- Burning mouth syndrome: updates on pathogenesis and diagnostic algorithms.Journal of oral & facial pain and headache · 2025Review
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Authors and funding
8 authors.
Funding
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Abstract
Background: Severe hyperkalemia is a life-threatening emergency requiring prompt management and close surveillance. Although artificial intelligence-enabled electrocardiography (AI-ECG) has been developed to rapidly detect hyperkalemia, its application to monitor potassium (K Methods: This retrospective study was performed at an emergency department of a single medical center over 2.5 years. Patients with severe hyperkalemia defined as Lab-K Results: Seventy-six patients fulfilling the inclusion criteria exhibited initial Lab-K Conclusions: AI-ECG for K
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