Upchurch, Gilbert R.
University of Florida Health · University of Florida
6 papers on CoChatORCID 0000-0002-4679-8623
Most cited papers
- Verified
2022 ACC/AHA guideline for the diagnosis and management of aortic disease: a report of the American heart association/American college of cardiology joint committee on clinical practice guidelines
Isselbacher, E. M., Preventza, O., Hamilton Black, J., Augoustides, J. G., Beck, A. W., Bolen, M. A., Braverman, A. C., Bray, B. E., Brown-Zimmerman, M. M., Chen, E. P., et al. (2022) · Circulation
Aortic Disease and Treatment ApproachesConnective tissue disorders research
Cited by 2,082
- Verified
Artificial Intelligence and Surgical Decision-making.
Loftus, T. J., Tighe, P. J., Filiberto, A. C., Efron, P. A., Brakenridge, S. C., Mohr, A. M., Rashidi, P., Upchurch, G. R., & Bihorac, A. (2020) · JAMA Surgery
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 650
- Verified
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
- Verified
Machine Learning Applications in Solid Organ Transplantation and Related Complications
Balch, J. A., Delitto, D., Tighe, P. J., Zarrinpar, A., Efron, P. A., Rashidi, P., Upchurch, G. R., Bihorac, A., & Loftus, T. J. (2021) · Frontiers in Immunology
Artificial Intelligence in Healthcare and EducationTransplantation: Methods and Outcomes
Cited by 33
- Verified
Predictive Modeling for Readmission to Intensive Care: A Systematic Review
Ruppert, M. M., Loftus, T. J., Small, C., Li, H., Ozrazgat-Baslanti, T., Balch, J., Holmes, R., Tighe, P. J., Upchurch, G. R., Efron, P. A., et al. (2023) · Critical Care Explorations
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 24
- Verified
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
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