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Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)

The article details the materials that will be used in a clinical trial - ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial [1]. It includes a clinician-facing action recommendation report that will translate an artificial intelli...

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Detalles Bibliográficos
Autores principales: Yao, Xiaoxi, McCoy, Rozalina G., Friedman, Paul A., Shah, Nilay D., Barry, Barbara A., Behnken, Emma M., Inselman, Jonathan W., Attia, Zachi I., Noseworthy, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906686/
https://www.ncbi.nlm.nih.gov/pubmed/31867424
http://dx.doi.org/10.1016/j.dib.2019.104894
Descripción
Sumario:The article details the materials that will be used in a clinical trial - ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial [1]. It includes a clinician-facing action recommendation report that will translate an artificial intelligence algorithm to routine practice and an alert when a positive screening result is found. This report was developed using a user-centered approach via an iterative process with input from multiple physician groups. Such data can be reused and adapted to translate other artificial intelligence algorithms. This article also includes data collection forms we developed for the clinical trial aiming to evaluate the artificial intelligence algorithm. Such materials can be adapted for other clinical trials.