Adapted large language models can outperform medical experts in clinical text summarization
2024 · Nature Medicine · 542 citations
https://doi.org/10.1038/s41591-024-02855-5
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Christian Bluethgen
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Christian Bluethgen is an academic researcher from University Hospital of Zurich. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Topic Modeling & Artificial Intelligence in Healthcare and Education. The author has an h-index of 13, co-authored 33 publications.
Papers by this author
worksBias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
2024 · Diagnostic and Interventional Radiology · 112 citations
https://doi.org/10.4274/dir.2024.242854
A vision–language foundation model for the generation of realistic chest X-ray images
2024 · Nature Biomedical Engineering · 72 citations
https://doi.org/10.1038/s41551-024-01246-y
GREEN: Generative Radiology Report Evaluation and Error Notation
2024 · 24 citations
https://doi.org/10.18653/v1/2024.findings-emnlp.21
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
2024 · Lecture notes in computer science · 21 citations
https://doi.org/10.1007/978-3-031-72986-7_8
MedVAL: Toward Expert-Level Medical Text Validation with Language Models
2025 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2507.03152
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