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BJR Artificial Intelligence
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May 1, 2026
Translating potential improvement in the precision and accuracy of lung nodule measurements on computed tomography scans by software derived from artificial intelligence into impact on clinical practice-a simulation study
Mubarak Patel, Peter Auguste, Jason Madan, et al.
BJR Artificial Intelligence
|
May 1, 2026
Integrating natural language processing into radiation oncology: a practical guide to transformer architecture and large language models
Reza Khanmohammadi, Mohammad M Ghassemi, Kyle Verdecchia, et al.
BJR Artificial Intelligence
|
May 1, 2026
Explaining transformer-based classification of radiology reports
Megan Courtman, Galaleldin Abdelhalim, Lingfen Sun, et al.
BJR Artificial Intelligence
|
March 13, 2024
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images
Ramesh Paudyal, Jue Jiang, James Han, et al.
BJR Artificial Intelligence
|
June 3, 2024
AI and machine learning in medical imaging: key points from development to translation
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
BJR Artificial Intelligence
|
May 22, 2026
Development and evaluation of artificial intelligence tools to estimate volumetric breast density from processed 2D mammograms
Sam Ellis, Sandra Gomes, Mark D Halling-Brown, et al.
BJR Artificial Intelligence
|
April 9, 2025
Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward
Kanika Bhalla, Qi Xiao, José Marcio Luna, et al.
BJR Artificial Intelligence
|
April 29, 2025
Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma
Abdalla Ibrahim, Ramesh Paudyal, Akash Shah, et al.
BJR Artificial Intelligence
|
January 8, 2025
Large language models in cancer: potentials, risks, and safeguards
Md Muntasir Zitu, Tuan Dung Le, Thanh Duong, et al.
BJR Artificial Intelligence
|
March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 49) with videos related to
Sort By:
Page
of 5
BJR Artificial Intelligence
|
May 1, 2026
Translating potential improvement in the precision and accuracy of lung nodule measurements on computed tomography scans by software derived from artificial intelligence into impact on clinical practice-a simulation study
Mubarak Patel, Peter Auguste, Jason Madan, et al.
BJR Artificial Intelligence
|
May 1, 2026
Integrating natural language processing into radiation oncology: a practical guide to transformer architecture and large language models
Reza Khanmohammadi, Mohammad M Ghassemi, Kyle Verdecchia, et al.
BJR Artificial Intelligence
|
May 1, 2026
Explaining transformer-based classification of radiology reports
Megan Courtman, Galaleldin Abdelhalim, Lingfen Sun, et al.
BJR Artificial Intelligence
|
March 13, 2024
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images
Ramesh Paudyal, Jue Jiang, James Han, et al.
BJR Artificial Intelligence
|
June 3, 2024
AI and machine learning in medical imaging: key points from development to translation
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
BJR Artificial Intelligence
|
May 22, 2026
Development and evaluation of artificial intelligence tools to estimate volumetric breast density from processed 2D mammograms
Sam Ellis, Sandra Gomes, Mark D Halling-Brown, et al.
BJR Artificial Intelligence
|
April 9, 2025
Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward
Kanika Bhalla, Qi Xiao, José Marcio Luna, et al.
BJR Artificial Intelligence
|
April 29, 2025
Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma
Abdalla Ibrahim, Ramesh Paudyal, Akash Shah, et al.
BJR Artificial Intelligence
|
January 8, 2025
Large language models in cancer: potentials, risks, and safeguards
Md Muntasir Zitu, Tuan Dung Le, Thanh Duong, et al.
BJR Artificial Intelligence
|
March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Page
of 5