Parisa Rashidi

Artificial Intelligence and Surgical Decision-making

2019 · 522 Zit. · JAMA Surgery

Accessing Artificial Intelligence for Clinical Decision-Making

2021 · 286 Zit. · Frontiers in Digital Health

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

Transformers and large language models in healthcare: A review

2024 · 103 Zit. · Artificial Intelligence in Medicine

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

Intelligent, Autonomous Machines in Surgery

2020 · 39 Zit. · Journal of Surgical Research

Machine Learning Applications in Solid Organ Transplantation and Related Complications

2021 · 24 Zit. · Frontiers in Immunology

Opportunities for machine learning to improve surgical ward safety

2020 · 23 Zit. · The American Journal of Surgery

Primer on machine learning

2019 · 15 Zit. · Current Opinion in Anaesthesiology

Community-engaged artificial intelligence research: A scoping review

2024 · 15 Zit. · PLOS Digital Health

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery

2020 · 14 Zit. · Frontiers in Artificial Intelligence

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