Elias, Pierre

Evaluating large language models on medical evidence summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J. F., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Evaluating Large Language Models on Medical Evidence Summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease

Elias, P., Poterucha, T. J., Rajaram, V., Moller, L. M., Rodriguez, V., Bhave, S., Hahn, R. T., Tison, G., Abreau, S. A., Barrios, J., et al. (2022) · Journal of the American College of Cardiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 153

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

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

Ouyang, D., Theurer, J., Stein, N. R., Hughes, J. W., Elias, P., He, B., Yuan, N., Duffy, G., Sandhu, R. K., Ebinger, J., et al. (2024) · The Lancet Digital Health

ECG Monitoring and AnalysisCardiac, Anesthesia and Surgical Outcomes

Cited by 64

Cardiac corrected QT interval changes among patients treated for COVID-19 infection during the early phase of the pandemic

Rubin, G. A., Desai, A. D., Chai, Z., Wang, A., Chen, Q., Wang, A. S., Kemal, C., Baksh, H., Biviano, A., Dizon, J. M., et al. (2021) · JAMA Network Open

Cardiac electrophysiology and arrhythmiasCOVID-19 Clinical Research Studies

Cited by 54

Deep learning to detect left ventricular structural abnormalities in chest X-rays

Bhave, S., Rodriguez, V., Poterucha, T., Mutasa, S., Aberle, D., Capaccione, K. M., Chen, Y., Dsouza, B., Dumeer, S., Goldstein, J., et al. (2024) · European Heart Journal

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 38

Evaluating the impact of interruptive alerts within a health system: use, response time, and cumulative time burden

Elias, P., Peterson, E., Wachter, B., Ward, C., Poon, E., & Navar, A. M. (2019) · Applied Clinical Informatics

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 33

Foundation models for electrocardiogram interpretation: clinical implications

Nolin-Lapalme, A., Sowa, A., Delfrate, J., Tastet, O., Corbin, D., Kulbay, M., Ozdemir, D., Noël, M.-J., Marois-Blanchet, F.-C., Harvey, F., et al. (2026) · European Heart Journal

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 20

Moving Beyond the Model

Jain, S. S., Mortazavi, B. J., Chan You, S., Yao, X., Lam, C. S. P., Elias, P., Poterucha, T. J., Avram, R., Tison, G. H., Pirruccello, J., et al. (2025) · JACC

Clinical practice guidelines implementationHealth and Medical Research Impacts

Cited by 13