Arnaout, Rima

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.

Norgeot, B., Quer, G., Beaulieu-Jones, B. K., Torkamani, A., Dias, R., Gianfrancesco, M., Arnaout, R., Kohane, I. S., Saria, S., Topol, E., et al. (2020) · Nature Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

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Fast and accurate view classification of echocardiograms using deep learning

Madani, A., Arnaout, R., Mofrad, M., & Arnaout, R. (2018) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 585

Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning

Arnaout, R., Curran, L., Zhao, Y., Levine, J. C., Chinn, E., & Moon-Grady, A. J. (2020) · Nature Medicine

Artificial Intelligence in Healthcare and EducationCongenital Heart Disease Studies

Cited by 315

Best practices for authors of healthcare-related artificial intelligence manuscripts

Kakarmath, S., Esteva, A., Arnaout, R., Harvey, H., Kumar, S., Muse, E., Dong, F., Wedlund, L., & Kvedar, J. (2020) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationAcademic Writing and Publishing

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