Christian Bluethgen

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

2023 · 185 Zit. · Diagnostic and Interventional Radiology

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

2024 · 107 Zit. · Diagnostic and Interventional Radiology

FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks

2023 · 85 Zit. · The Lancet Digital Health

GREEN: Generative Radiology Report Evaluation and Error Notation

2024 · 23 Zit.

A New Era of Text Mining in Radiology with Privacy-Preserving LLMs

2024 · 4 Zit. · Radiology Artificial Intelligence

GREEN: Generative Radiology Report Evaluation and Error Notation

2024 · 1 Zit. · arXiv (Cornell University)

Best Practices for Large Language Models in Radiology

2024 · 1 Zit. · arXiv (Cornell University)

MedVAL: Toward Expert-Level Medical Text Validation with Language Models

2025 · 0 Zit. · arXiv (Cornell University)

Reconsidering Conclusions of Bias Assessment in Medical Imaging Foundation Models

2023 · 0 Zit. · Radiology Artificial Intelligence

Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data

2025 · 0 Zit.