Yuanfang Ren

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

2022 · 118 Zit. · JAMA Network Open

Artificial intelligence-enabled decision support in nephrology

2022 · 89 Zit. · Nature Reviews Nephrology

Digital Health Transformers and Opportunities for Artificial Intelligence–Enabled Nephrology

2023 · 11 Zit. · Clinical Journal of the American Society of Nephrology

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

2024 · 11 Zit. · arXiv (Cornell University)

Federated learning model for predicting major postoperative complications

2024 · 0 Zit. · arXiv (Cornell University)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

2024 · 0 Zit. · arXiv (Cornell University)

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

2026 · 0 Zit. · arXiv (Cornell University)

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

2026 · 0 Zit. · ArXiv.org