Eric K. Oermann

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

2021 · 685 Zit. · Nature Medicine

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

2023 · 427 Zit. · Nature

Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports

2018 · 142 Zit. · Radiology

Medical large language models are vulnerable to data-poisoning attacks

2025 · 137 Zit. · Nature Medicine

Concepts and applications of digital twins in healthcare and medicine

2024 · 91 Zit. · Patterns

Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department

2020 · 56 Zit. · Radiology Artificial Intelligence

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

2021 · 44 Zit. · Research Square

Big Data Defined: A Practical Review for Neurosurgeons

2019 · 28 Zit. · World Neurosurgery

Economics and Equity of Large Language Models: Health Care Perspective

2024 · 25 Zit. · Journal of Medical Internet Research

Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models

2019 · 21 Zit. · Annals of Translational Medicine

Methods and Impact for Using Federated Learning to Collaborate on Clinical Research

2022 · 20 Zit. · Neurosurgery

Transparency in Artificial Intelligence Reporting in Ophthalmology-A Scoping Review

2024 · 14 Zit. · Ophthalmology Science

Federated AI, Current State, and Future Potential

2023 · 10 Zit. · Asia-Pacific Journal of Ophthalmology

Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases

2023 · 8 Zit. · Neurosurgery

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model

2024 · 8 Zit. · arXiv (Cornell University)