Christopher P. Hess

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

2021 · 662 Zit. · Nature Medicine

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the <i>Radiology</i> Editorial Board

2019 · 326 Zit. · Radiology

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

2021 · 44 Zit. · Research Square

An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow

2020 · 39 Zit. · Journal of Digital Imaging

Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology

2023 · 19 Zit. · American Journal of Neuroradiology

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology

2023 · 13 Zit. · PLOS Digital Health

Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition

2024 · 4 Zit. · American Journal of Neuroradiology

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology

2023 · 2 Zit. · medRxiv

A Look Back at Emerging Strategic Themes for Guiding Change in Academic Radiology Circa 2005; Modeling Different Rates of Adoption of Organizational Innovations

2025 · 0 Zit. · Academic Radiology