Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages
Aymen Meddeb(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Keno K. Bressem(TUM Klinikum), Antonios Tzortzakakis(Karolinska University Hospital), Felix Busch(TUM Klinikum), Long Jiang Zhang(Humboldt-Universität zu Berlin), Sophia Lüken(Humboldt-Universität zu Berlin), Lorenzo Ugga(University of Naples Federico II), Wipawee Morakote(Humboldt-Universität zu Berlin), Tatiana Logunova(Humboldt-Universität zu Berlin), Mike P. Wattjes(Humboldt-Universität zu Berlin), Emmanouil Koltsakis(Humboldt-Universität zu Berlin), Renato Cuocolo(University of Salerno), Sabahattin Yüzkan(Humboldt-Universität zu Berlin), Salita Angkurawaranon(Humboldt-Universität zu Berlin), Michail E. Klontzas(University of Crete), Anna Andreychenko(Ulsan College), Matthaios Triantafyllou(Humboldt-Universität zu Berlin), Soumaya Jelassi(Humboldt-Universität zu Berlin), Bin Hu(Humboldt-Universität zu Berlin), Insaf Dkhil(Humboldt-Universität zu Berlin), Lisa C. Adams(Palo Alto University), Efimtcev Alexander Yurievich(Humboldt-Universität zu Berlin), Burak Koçak(Ulsan College)
Cited by 33
Related Papers
Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021
|The Lancet|2025|801
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
|Radiology Artificial Intelligence|2024|331
SenNet recommendations for detecting senescent cells in different tissues
|Nature Reviews Molecular Cell Biology|2024|330
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|263