Clinician perception of a machine learning–based early warning system designed to predict severe sepsis and septic shock
Ginestra, Jennifer C., Giannini, Heather M., Schweickert, William D., Meadows, Laurie, Lynch, Michael J., Pavan, Kimberly, Chivers, Corey J., Draugelis, Michael +3 more·2019·Critical Care Medicine
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- Applying AI to Manage Acute and Chronic Clinical ConditionRachael Hagan, Charles J. Gillan, Murali Shyamsundar · 2022 · Springer eBooks
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- Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic SurveyKarthik S. Ramesh, Aaron E. Boussina, Supreeth Prajwal Shashikumar, Atul Malhotra, Chris Longhurst, Christopher S. Josef, Kimberly Quintero, Jake Del Rosso, Shamim Nemati, Gabriel Wardi · 2025 · Critical Care Explorations
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- Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey (Preprint)Karthik S. Ramesh, Aaron E. Boussina, Supreeth Prajwal Shashikumar, Atul Malhotra, Chris Longhurst, Christopher S. Josef, Kimberly Quintero, Jake Del Rosso, Shamim Nemati, Gabriel Wardi · 2024
- Efficient Scaling of Bayesian Neural NetworksJacob R. Epifano, Timothy Q. Duong, Ravi P. Ramachandran, Ghulam Rasool · 2024 · IEEE Access
- To Explore Nurses' Attitudes Towards Artificial Intelligence Technology: A Scoping ReviewCan Qun Yang, Ying He, Pingshuang Li, Chuhong Luo, Rong Yuan · 2025 · SSRN Electronic Journal
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- Clinical Decision-Making Variability Among Nurse Practitioners in the Early Detection and Management of Sepsis in Acute Care SettingsSufiyan Musa, Omid Moradi, Mohammad ID Ibrahim, Farah Khir · 2025 · International Journal of Medical Discoveries
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- Impact of manual sepsis screening in hospitalized adult patients: A systematic reviewRachel K. Hechtman, Natasha Garamani, Yezen Anabtawi, Amanda G. Rivas, Bailey Reagan Antonowicz, Anna Barker, Tami Garcia, Rosalie Mulcahy, Patricia J. Posa, Michael W. Sjoding et al. · 2026 · Journal of Hospital Medicine
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