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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical
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

Internet

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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