Shickel, Benjamin

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Shickel, B., Tighe, P. J., Bihorac, A., & Rashidi, P. (2018) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 1,688

DeepSOFA: a continuous acuity score for critically ill patients using clinically interpretable deep learning.

Shickel, B., Loftus, T. J., Adhikari, L., Ozrazgat-Baslanti, T., Bihorac, A., & Rashidi, P. (2019) · Scientific Reports

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 165

Use of artificial intelligence in critical care: opportunities and obstacles

Pinsky, M. R., Bedoya, A., Bihorac, A., Celi, L., Churpek, M., Economou-Zavlanos, N. J., Elbers, P., Saria, S., Liu, V., Lyons, P. G., et al. (2024) · Critical Care

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 160

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Cecconi, M., Greco, M., Shickel, B., Angus, D. C., Bailey, H., Bignami, E., Calandra, T., Celi, L. A., Einav, S., Elbers, P., et al. (2025) · Critical Care

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 80

Uncertainty-aware deep learning in healthcare: A scoping review

Loftus, T. J., Shickel, B., Ruppert, M. M., Balch, J. A., Ozrazgat-Baslanti, T., Tighe, P. J., Efron, P. A., Hogan, W. R., Rashidi, P., Upchurch, G. R., et al. (2022) · PLOS Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 73

Evaluation of Federated learning variations for COVID-19 diagnosis using chest Radiographs from 42 US and European hospitals

Peng, L., Luo, G., Walker, A., Zaiman, Z., Jones, E. K., Gupta, H., Kersten, K., Burns, J. L., Harle, C. A., Magoc, T., et al. (2022) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 36

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU

Shickel, B., Davoudi, A., Ozrazgat-Baslanti, T., Ruppert, M., Bihorac, A., & Rashidi, P. (2021) · Frontiers in Digital Health

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 21

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools

Ma, Y., Song, Y., Balch, J. A., Ren, Y., Vellanki, D., Hu, Z., Brennan, M., Kolla, S., Guan, Z., Armfield, B., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 16

Physiologic signatures within six hours of hospitalization identify acute illness phenotypes

Ren, Y., Loftus, T. J., Li, Y., Guan, Z., Ruppert, M. M., Datta, S., Upchurch, G. R., Tighe, P. J., Rashidi, P., Shickel, B., et al. (2022) · PLOS Digital Health

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 6