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AJR. American Journal of Roentgenology
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August 13, 2025
Generative Artificial Intelligence Increases Radiograph Reporting Efficiency
Christian Bluethgen
Radiology. Artificial Intelligence
|
June 20, 2024
A New Era of Text Mining in Radiology with Privacy-Preserving LLMs
Tugba Akinci D'Antonoli, Christian Bluethgen
The Lancet. Digital Health
|
August 25, 2023
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks
Urs J Muehlematter, Christian Bluethgen, Kerstin N Vokinger
Radiology. Artificial Intelligence
|
December 11, 2023
Reconsidering Conclusions of Bias Assessment in Medical Imaging Foundation Models
Akshay S Chaudhari, Christian Bluethgen, David Ouyang
European Radiology
|
September 29, 2023
External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT
Krit Dwivedi, Michael Sharkey, Samer Alabed, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
July 8, 2025
Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects
Tugba Akinci D'Antonoli, Christian Bluethgen, Renato Cuocolo, et al.
Journal of Medical Internet Research
|
June 26, 2026
Evaluation of Large Language Models for Structured Data Extraction From Interstitial Lung Disease Clinical Notes: Comparative Study
Stephanie Ji Chen, Manoj Venkat Maddali, Curtis Langlotz, et al.
Journal of Applied Clinical Medical Physics
|
August 10, 2022
Fully automated breast segmentation on spiral breast computed tomography images
Sojin Shim, Davide Cester, Lisa Ruby, et al.
Radiology
|
February 4, 2025
Foundation Models in Radiology: What, How, Why, and Why Not
Magdalini Paschali, Zhihong Chen, Louis Blankemeier, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
October 4, 2023
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
Tugba Akinci D'Antonoli, Arnaldo Stanzione, Christian Bluethgen, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
AJR. American Journal of Roentgenology
|
August 13, 2025
Generative Artificial Intelligence Increases Radiograph Reporting Efficiency
Christian Bluethgen
Radiology. Artificial Intelligence
|
June 20, 2024
A New Era of Text Mining in Radiology with Privacy-Preserving LLMs
Tugba Akinci D'Antonoli, Christian Bluethgen
The Lancet. Digital Health
|
August 25, 2023
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks
Urs J Muehlematter, Christian Bluethgen, Kerstin N Vokinger
Radiology. Artificial Intelligence
|
December 11, 2023
Reconsidering Conclusions of Bias Assessment in Medical Imaging Foundation Models
Akshay S Chaudhari, Christian Bluethgen, David Ouyang
European Radiology
|
September 29, 2023
External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT
Krit Dwivedi, Michael Sharkey, Samer Alabed, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
July 8, 2025
Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects
Tugba Akinci D'Antonoli, Christian Bluethgen, Renato Cuocolo, et al.
Journal of Medical Internet Research
|
June 26, 2026
Evaluation of Large Language Models for Structured Data Extraction From Interstitial Lung Disease Clinical Notes: Comparative Study
Stephanie Ji Chen, Manoj Venkat Maddali, Curtis Langlotz, et al.
Journal of Applied Clinical Medical Physics
|
August 10, 2022
Fully automated breast segmentation on spiral breast computed tomography images
Sojin Shim, Davide Cester, Lisa Ruby, et al.
Radiology
|
February 4, 2025
Foundation Models in Radiology: What, How, Why, and Why Not
Magdalini Paschali, Zhihong Chen, Louis Blankemeier, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
October 4, 2023
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
Tugba Akinci D'Antonoli, Arnaldo Stanzione, Christian Bluethgen, et al.
Page
of 3