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Editorial
. 2024 Jul;6(4):e240261.
doi: 10.1148/ryai.240261.

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

Tugba Akinci D'Antonoli  1 , Christian Bluethgen  1
Affiliations
Editorial

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

Tugba Akinci D'Antonoli et al. Radiol Artif Intell. 2024 Jul.
No abstract available

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Conflict of interest statement

Disclosures of conflicts of interest: T.A.D. Support for attending meetings and/or travel from Cantonal Hospital Baselland and European Society of Medical Imaging Informatics; trainee editorial board member of Radiology: Artificial Intelligence. C.B. Research support from Promedica Foundation, Chur, CH.

Figures

Tugba Akinci D’Antonoli, MD, is currently a radiology resident at Cantonal Hospital Baselland and a researcher at the University of Basel, Switzerland. Her research interests include deep learning and radiomics applications in cardiothoracic radiology and neuroradiology. She is a member of the 2023–2025 trainee editorial board of Radiology: Artificial Intelligence and is also a member of the Young Club Committee in the European Society of Medical Imaging Informatics and scientific editorial board member at European Radiology.
Tugba Akinci D’Antonoli, MD, is currently a radiology resident at Cantonal Hospital Baselland and a researcher at the University of Basel, Switzerland. Her research interests include deep learning and radiomics applications in cardiothoracic radiology and neuroradiology. She is a member of the 2023–2025 trainee editorial board of Radiology: Artificial Intelligence and is also a member of the Young Club Committee in the European Society of Medical Imaging Informatics and scientific editorial board member at European Radiology.
Christian Bluethgen, MD, MSc, is currently an attending radiologist and clinician scientist at the Institute for Diagnostic and Interventional Radiology at the University Hospital Zurich and the University of Zurich, Switzerland and previously a visiting postdoctoral researcher at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), USA. His research focuses on thoracic imaging and the design and application of multimodal deep learning models for radiological applications.
Christian Bluethgen, MD, MSc, is currently an attending radiologist and clinician scientist at the Institute for Diagnostic and Interventional Radiology at the University Hospital Zurich and the University of Zurich, Switzerland and previously a visiting postdoctoral researcher at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), USA. His research focuses on thoracic imaging and the design and application of multimodal deep learning models for radiological applications.
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References

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    1. Akinci D’Antonoli T , Stanzione A , Bluethgen C , et al. . Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions . Diagn Interv Radiol 2024. ; 30 ( 2 ): 80 – 90 . - PMC - PubMed

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