RadioRAG: Online Retrieval–Augmented Generation for Radiology Question Answering
Soroosh Tayebi Arasteh(Friedrich-Alexander-Universität Erlangen-Nürnberg), Robert Siepmann(RWTH Aachen University), Mahshad Lotfinia(RWTH Aachen University), Keno K. Bressem(TUM Klinikum), Christiane Kühl(Universitätsklinikum Aachen), Sven Nebelung(Universitätsklinikum Aachen), Dyke Ferber(Heidelberg University)
Cited by 20
Related Papers
Mammography, Breast Ultrasound, and Magnetic Resonance Imaging for Surveillance of Women at High Familial Risk for Breast Cancer
|Journal of Clinical Oncology|2005|1.1k
Denoising diffusion probabilistic models for 3D medical image generation
|Scientific Reports|2023|298
Risk reduction and screening of cancer in hereditary breast-ovarian cancer syndromes: ESMO Clinical Practice Guideline
|Annals of Oncology|2022|271
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|263
Current applications and challenges in large language models for patient care: a systematic review
|Communications Medicine|2025|211