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An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?
OBJECTIVE: To develop an artificial intelligence (AI)–enabled electrocardiogram (ECG) algorithm capable of comprehensive, human-like ECG interpretation and compare its diagnostic performance against conventional ECG interpretation methods. METHODS: We developed a novel AI-enabled ECG (AI-ECG) algori...
Autores principales: | Kashou, Anthony H., Mulpuru, Siva K., Deshmukh, Abhishek J., Ko, Wei-Yin, Attia, Zachi I., Carter, Rickey E., Friedman, Paul A., Noseworthy, Peter A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890338/ https://www.ncbi.nlm.nih.gov/pubmed/35265905 http://dx.doi.org/10.1016/j.cvdhj.2021.04.002 |
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