Monitoring serum potassium concentration in patients with severe hyperkalemia: the role of bloodless artificial intelligence-enabled electrocardiography
AI-ECG for K<sup>+</sup> prediction may help monitor K<sup>+</sup> level for severe hyperkalemia and reveal more severe cardiac disorders in the patients with persistent AI-ECG hyperkalemia.
Authors
- Shih-Hua Lin
- Chien‐Chou Chen (ORCID: https://orcid.org/0000-0001-5167-2630)
- Ding-Jie Lee (ORCID: https://orcid.org/0000-0002-4480-9106)
- Chin‐Sheng Lin (ORCID: https://orcid.org/0000-0002-5167-8327)
- Sy‐Jou Chen (ORCID: https://orcid.org/0000-0002-2105-7570)
- Chin Lin (ORCID: https://orcid.org/0000-0003-2337-2096)
- Chih‐Chien Sung
- Yu-Juei Hsu
Institutions
- Tri-Service General Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- Clinical Kidney Journal
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1093/ckj/sfaf092
- Citations
- 1
- Primary Topic
- Potassium and Related Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- American Society of Nephrology
- Tri-Service General Hospital