Ognjen Gajic

Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis

2020 · 75 Zit. · Critical Care Explorations

Artificial intelligence and computer simulation models in critical illness

2020 · 34 Zit. · World Journal of Critical Care Medicine

Development and usability testing of a patient digital twin for critical care education: a mixed methods study

2024 · 33 Zit. · Frontiers in Medicine

Gaining consensus on expert rule statements for acute respiratory failure digital twin patient model in intensive care unit using a Delphi method

2023 · 8 Zit. · Biomolecules and Biomedicine

Early prediction of shock in intensive care unit patients by machine learning using discrete electronic health record data

2025 · 4 Zit. · Journal of Critical Care

Utility of AI models in critical care: union of man and the machine

2021 · 4 Zit. · Critical Care

Exploring Stakeholder Perceptions about Using Artificial Intelligence for the Diagnosis of Rare and Atypical Infections

2024 · 0 Zit. · Applied Clinical Informatics

INTERACTIVE AI-ENHANCED COMMUNICATION TRAINING (INTERACT) IN THE ICU

2025 · 0 Zit. · CHEST Journal

International Delphi Consensus on AKI: Foundations for Artificial Intelligence (AI)-Driven Digital Twin Development in Critical Care Nephrology

2025 · 0 Zit. · Journal of the American Society of Nephrology