Eric K. Oermann

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

2018 · 1.464 Zit. · PLoS Medicine

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

2021 · 699 Zit. · Nature Medicine

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

2023 · 433 Zit. · Nature

Medical large language models are vulnerable to data-poisoning attacks

2025 · 146 Zit. · Nature Medicine

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

2018 · 142 Zit. · Radiology

Concepts and applications of digital twins in healthcare and medicine

2024 · 98 Zit. · Patterns

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

2021 · 45 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 · 26 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 · 15 Zit. · Ophthalmology Science

Federated AI, Current State, and Future Potential

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

Augmenting Large Language Models With Automated, Bibliometrics-Powered Literature Search for Knowledge Distillation: A Pilot Study for Common Spinal Pathologies

2025 · 8 Zit. · Neurosurgery

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

2023 · 8 Zit. · Neurosurgery