Emory University Hospital

Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions

Andrew J. Degnan, Emily H. Ghobadi, Peter Hardy et al.

2018 · 112 Zit.

Artificial Intelligence and Machine Learning in Radiology

Julian L. Wichmann, Martin J. Willemink, Carlo N. De Cecco

2020 · 77 Zit.

Artificial intelligence from A to Z: From neural network to legal framework

Marly van Assen, Scott Lee, Carlo N. De Cecco

2020 · 61 Zit.

Beyond the Artificial Intelligence Hype

Marly van Assen, Imon Banerjee, Carlo N. De Cecco

2020 · 27 Zit.

Radiology Stereotypes, Application Barriers, and Hospital Integration: A Mixed-methods Study of Medical Student Perceptions of Radiology

Lars J. Grimm, Laura J. Fish, Caroline Carrico et al.

2021 · 24 Zit.

An Ethics Framework for Clinical Imaging Data Sharing and the Greater Good

Elizabeth A. Krupinski

2020 · 17 Zit.

Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging

Marly van Assen, Ashley Beecy, Gabrielle Gershon et al.

2024 · 17 Zit.

Evaluating AI Clinically—It’s Not Just ROC AUC!

Elizabeth A. Krupinski

2020 · 12 Zit.

COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development

Marly van Assen, Mohammadreza Zandehshahvar, Hossein Maleki et al.

2022 · 10 Zit.

Reducing STAT Portable Chest Radiograph Turnaround Times: A Pilot Study

Pratik Rachh, Alexa O. Levey, Andrew B. Lemmon et al.

2017 · 9 Zit.

Toward Data-Driven Radiology Education—Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA)

Po‐Hao Chen, Thomas W. Loehfelm, Aaron Kamer et al.

2016 · 8 Zit.

Multimodal artificial intelligence models for radiology

Amara Tariq, Imon Banerjee, Hari Trivedi et al.

2025 · 7 Zit.

Systematic review on the impact of deep learning-driven worklist triage on radiology workflow and clinical outcomes

Eshan Momin, Tessa S. Cook, Gabrielle Gershon et al.

2025 · 5 Zit.

Accuracy and Reproducibility of ChatGPT Responses to 362 Breast Cancer Tumor Board Cases

Ning Liao, Cheukfai Li, William J. Gradishar et al.

2024 · 4 Zit.

Interpretability of AI race detection model in medical imaging with saliency methods

Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz et al.

2025 · 3 Zit.