Mona G. Flores

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

MONAI: An open-source framework for deep learning in healthcare

2022 · 425 Zit. · arXiv (Cornell University)

Health system-scale language models are all-purpose prediction engines

2023 · 407 Zit. · Nature

A study of generative large language model for medical research and healthcare

2023 · 333 Zit. · npj Digital Medicine

Federated learning improves site performance in multicenter deep learning without data sharing

2020 · 219 Zit. · Journal of the American Medical Informatics Association

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

2023 · 103 Zit. · IEEE Transactions on Medical Imaging

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

2022 · 52 Zit. · arXiv (Cornell University)

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

2022 · 41 Zit. · arXiv (Cornell University)

A Study of Generative Large Language Model for Medical Research and Healthcare

2023 · 16 Zit. · arXiv (Cornell University)

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes

2023 · 11 Zit. · Health Informatics Journal

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning

2020 · 1 Zit. · arXiv (Cornell University)

Industry perspective of artificial intelligence in medicine and surgery

2023 · 1 Zit. · Elsevier eBooks

754 Prediction of 30-day All-Cause Readmission of Neurosurgery Patients Using Large Language Models

2024 · 0 Zit. · Neurosurgery

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need

2023 · 0 Zit. · arXiv (Cornell University)