Benjamin Shickel

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

2022 · 115 Zit. · JAMA Network Open

Use of artificial intelligence in critical care: opportunities and obstacles

2024 · 104 Zit. · Critical Care

Transformers and large language models in healthcare: A review

2024 · 103 Zit. · Artificial Intelligence in Medicine

Artificial intelligence-enabled decision support in nephrology

2022 · 84 Zit. · Nature Reviews Nephrology

Uncertainty-aware deep learning in healthcare: A scoping review

2022 · 50 Zit. · PLOS Digital Health

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

2023 · 44 Zit. · Scientific Reports

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22

2025 · 32 Zit. · Critical Care

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

2022 · 29 Zit. · Journal of the American Medical Informatics Association

Community-engaged artificial intelligence research: A scoping review

2024 · 15 Zit. · PLOS Digital Health

Artificial intelligence in acute medicine: a call to action

2024 · 14 Zit. · Critical Care

Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review

2023 · 13 Zit. · Frontiers in Cardiovascular Medicine

Transformers in Healthcare: A Survey

2023 · 12 Zit. · arXiv (Cornell University)

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 · 10 Zit. · arXiv (Cornell University)

A Pilot Study of Medical Student Opinions on Large Language Models

2024 · 8 Zit. · Cureus