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Kim-Anh-Nhi Nguyen

Showing results (1-10 of 6) with videos related to

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Microsurgery|July 31, 2025
Machine Learning-Based Flap Takeback Prediction Modeling: Theory for a Real-Time, Patient-Specific Postoperative Flap Monitoring and Alert SystemOlachi O Oleru, Kim-Anh-Nhi Nguyen, Peter Taub, et al.
Journal of Clinical Medicine|February 26, 2025
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External ValidationKim-Anh-Nhi Nguyen, Dhavalkumar Patel, Masoud Edalati, et al.
Critical Care Medicine|February 21, 2024
Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical TrialMatthew A Levin, Arash Kia, Prem Timsina, et al.
JMIR Formative Research|October 26, 2023
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and ValidationKim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati, et al.
Bioengineering (Basel, Switzerland)|June 27, 2024
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical VentilationPranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, et al.
Mayo Clinic Proceedings. Digital Health|December 3, 2025
Identifying Bias at Scale in Clinical Notes Using Large Language ModelsDonald U Apakama, Kim-Anh-Nhi Nguyen, Daphnee Hyppolite, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Microsurgery|July 31, 2025
Machine Learning-Based Flap Takeback Prediction Modeling: Theory for a Real-Time, Patient-Specific Postoperative Flap Monitoring and Alert SystemOlachi O Oleru, Kim-Anh-Nhi Nguyen, Peter Taub, et al.
Journal of Clinical Medicine|February 26, 2025
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External ValidationKim-Anh-Nhi Nguyen, Dhavalkumar Patel, Masoud Edalati, et al.
Critical Care Medicine|February 21, 2024
Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical TrialMatthew A Levin, Arash Kia, Prem Timsina, et al.
JMIR Formative Research|October 26, 2023
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and ValidationKim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati, et al.
Bioengineering (Basel, Switzerland)|June 27, 2024
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical VentilationPranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, et al.
Mayo Clinic Proceedings. Digital Health|December 3, 2025
Identifying Bias at Scale in Clinical Notes Using Large Language ModelsDonald U Apakama, Kim-Anh-Nhi Nguyen, Daphnee Hyppolite, et al.
Pageof 1