Tezcan Ozrazgat‐Baslanti

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform

2022 · 119 Zit. · JAMA Network Open

Artificial intelligence-enabled decision support in nephrology

2022 · 89 Zit. · Nature Reviews Nephrology

Uncertainty-aware deep learning in healthcare: A scoping review

2022 · 51 Zit. · PLOS Digital Health

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks

2023 · 44 Zit. · Scientific Reports

Community-engaged artificial intelligence research: A scoping review

2024 · 15 Zit. · PLOS Digital Health

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

2024 · 11 Zit. · arXiv (Cornell University)

Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi From the Society of Critical Care Medicine Data Science Campaign

2025 · 5 Zit. · Critical Care Medicine

Electronic Health Record Data Quality and Performance Assessments: A Scoping Review (Preprint)

2024 · 0 Zit.

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

2024 · 0 Zit. · arXiv (Cornell University)

Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine

2023 · 0 Zit. · bioRxiv (Cold Spring Harbor Laboratory)