Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction
Abstract Dyskalemias are common electrolyte disorders associated with high cardiovascular risk. Artificial intelligence (AI)-assisted electrocardiography (ECG) has been evaluated as an early-detection approach for dyskalemia. The aims of this study were to determine the clinical accuracy of AI-assis...
| 出版年: | npj Digital Medicine |
|---|---|
| 主要な著者: | Chin Lin, Tom Chau, Chin-Sheng Lin, Hung-Sheng Shang, Wen-Hui Fang, Ding-Jie Lee, Chia-Cheng Lee, Shi-Hung Tsai, Chih-Hung Wang, Shih-Hua Lin |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Nature Portfolio
2022-01-01
|
| オンライン・アクセス: | https://doi.org/10.1038/s41746-021-00550-0 |
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