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Shamie Kumar

Showing results (1-10 of 7) with videos related to

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BJR Open|October 31, 2024
A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United KingdomGarry Pettet, Julie West, Dennis Robert, et al.
BJR Open|October 1, 2024
Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluationAmrita Kumar, Puja Patel, Dennis Robert, et al.
Journal of Medical Systems|June 19, 2026
Beyond Validation: Operationalising Post-Deployment Surveillance of AI Medical Devices in Clinical PracticeJesus A Perdomo Lampignano, Aditya Kale, Shamie Kumar, et al.
European Journal of Radiology Open|November 7, 2024
Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab EmiratesAmina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, Mohyi Eldin Fahmy, et al.
BMJ Open|September 21, 2024
Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretationSean F Duncan, Alex McConnachie, James Blackwood, 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.
BMJ Open|February 12, 2024
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase studyHowell Fu, Alex Novak, Dennis Robert, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BJR Open|October 31, 2024
A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United KingdomGarry Pettet, Julie West, Dennis Robert, et al.
BJR Open|October 1, 2024
Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluationAmrita Kumar, Puja Patel, Dennis Robert, et al.
Journal of Medical Systems|June 19, 2026
Beyond Validation: Operationalising Post-Deployment Surveillance of AI Medical Devices in Clinical PracticeJesus A Perdomo Lampignano, Aditya Kale, Shamie Kumar, et al.
European Journal of Radiology Open|November 7, 2024
Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab EmiratesAmina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, Mohyi Eldin Fahmy, et al.
BMJ Open|September 21, 2024
Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretationSean F Duncan, Alex McConnachie, James Blackwood, 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.
BMJ Open|February 12, 2024
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase studyHowell Fu, Alex Novak, Dennis Robert, et al.
Pageof 1