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European Radiology
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March 3, 2022
Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model
Madhurima R Chetan, Nicholas Dowson, Noah Waterfield Price, et al.
Human Brain Mapping
|
December 5, 2018
Aberrant visual pathway development in albinism: From retina to cortex
Sarim Ather, Frank Anthony Proudlock, Thomas Welton, et al.
Emergency Radiology
|
August 21, 2025
CT scan evaluation of injuries in patients over 60 years old following a fall from standing height
Sarim Ather, Katrina Nash, Joelle Alexander, et al.
BJR Open
|
November 12, 2020
Diagnostic accuracy of initial chest radiograph compared to SARS-CoV-2 PCR in patients with suspected COVID-19
Maria Tsakok, Robert Shaw, Andrew Murchison, et al.
Investigative Ophthalmology & Visual Science
|
October 10, 2023
CHIASM-Net: Artificial Intelligence-Based Direct Identification of Chiasmal Abnormalities in Albinism
Robert J Puzniak, Gokulraj T Prabhakaran, Rebecca J McLean, et al.
Diagnostic and Prognostic Research
|
May 17, 2019
Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol
Jason L Oke, Lyndsey C Pickup, Jérôme Declerck, et al.
Spinal Cord
|
September 3, 2020
Pelvic MRI in spinal cord injury patients: incidence of muscle signal change and early heterotopic ossification
David McKean, Sarim Ather, Amar Gandhi, et al.
BJR Artificial Intelligence
|
July 11, 2026
Autonomous reporting of 'normal' chest X-rays by artificial intelligence in the United Kingdom; can we take the human out of the loop?
Katrina Nash, James Vaz, Ahmed Maiter, et al.
Rheumatology (Oxford, England)
|
June 9, 2025
Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets
Amir Jamaludin, Rhydian Windsor, Sarim Ather, et al.
BMJ Open
|
June 17, 2024
Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)
Kavitha Vimalesvaran, Dennis Robert, Shamie Kumar, et al.
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of 4
Search research articles
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Showing results (11-20 of 31) with videos related to
Sort By:
Page
of 4
European Radiology
|
March 3, 2022
Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model
Madhurima R Chetan, Nicholas Dowson, Noah Waterfield Price, et al.
Human Brain Mapping
|
December 5, 2018
Aberrant visual pathway development in albinism: From retina to cortex
Sarim Ather, Frank Anthony Proudlock, Thomas Welton, et al.
Emergency Radiology
|
August 21, 2025
CT scan evaluation of injuries in patients over 60 years old following a fall from standing height
Sarim Ather, Katrina Nash, Joelle Alexander, et al.
BJR Open
|
November 12, 2020
Diagnostic accuracy of initial chest radiograph compared to SARS-CoV-2 PCR in patients with suspected COVID-19
Maria Tsakok, Robert Shaw, Andrew Murchison, et al.
Investigative Ophthalmology & Visual Science
|
October 10, 2023
CHIASM-Net: Artificial Intelligence-Based Direct Identification of Chiasmal Abnormalities in Albinism
Robert J Puzniak, Gokulraj T Prabhakaran, Rebecca J McLean, et al.
Diagnostic and Prognostic Research
|
May 17, 2019
Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol
Jason L Oke, Lyndsey C Pickup, Jérôme Declerck, et al.
Spinal Cord
|
September 3, 2020
Pelvic MRI in spinal cord injury patients: incidence of muscle signal change and early heterotopic ossification
David McKean, Sarim Ather, Amar Gandhi, et al.
BJR Artificial Intelligence
|
July 11, 2026
Autonomous reporting of 'normal' chest X-rays by artificial intelligence in the United Kingdom; can we take the human out of the loop?
Katrina Nash, James Vaz, Ahmed Maiter, et al.
Rheumatology (Oxford, England)
|
June 9, 2025
Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets
Amir Jamaludin, Rhydian Windsor, Sarim Ather, et al.
BMJ Open
|
June 17, 2024
Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)
Kavitha Vimalesvaran, Dennis Robert, Shamie Kumar, et al.
Page
of 4