Beecy, Ashley

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Al’Aref, S. J., Anchouche, K., Singh, G., Slomka, P. J., Kolli, K. K., Kumar, A., Pandey, M., Maliakal, G., van Rosendael, A. R., Beecy, A. N., et al. (2019) · European Heart Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 534

Detecting structural heart disease from electrocardiograms using AI

Poterucha, T. J., Jing, L., Ricart, R. P., Adjei-Mosi, M., Finer, J., Hartzel, D., Kelsey, C., Long, A., Rocha, D., Ruhl, J. A., et al. (2025) · Nature

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 116

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Jain, S. S., Elias, P., Poterucha, T., Randazzo, M., Lopez Jimenez, F., Khera, R., Perez, M., Ouyang, D., Pirruccello, J., Salerno, M., et al. (2024) · Journal of the American College of Cardiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 74

Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

Rosenthal, J. T., Beecy, A., & Sabuncu, M. R. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

The Chief Health AI Officer — An Emerging Role for an Emerging Technology

Beecy, A. N., Longhurst, C. A., Singh, K., Wachter, R. M., & Murray, S. G. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 20

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality

Lee, H. G., Sholle, E., Beecy, A., Al’Aref, S., & Peng, Y. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 7