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Alison Deary

NHS Blood and Transplant Clinical Trials Unit

SCHOLARLY PAPERS

2

DOWNLOADS

408

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

Stepped-Wedge Randomised Controlled Trial Evaluation of a National Digital Pre-Implantation Biopsy Service for UK Deceased-Donor Kidney Transplantation (The PITHIA Trial)

Number of pages: 21 Posted: 14 Nov 2024
University of Cambridge - Department of Surgery, University College London - University College London Medical School, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, Intensive Care National Audit and Research Centre, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Foundation Trust - Cambridge University Hospitals, NHS Foundation Trust - Cambridge University Hospitals, NHS Foundation Trust - Cambridge University Hospitals, Guy’s and St Thomas’ NHS Foundation Trust, University of Birmingham, Imperial College, Faculty Medicine, Dept Immunology and Inflammation, Guy’s and St Thomas’ NHS Foundation Trust, Government of the United Kingdom - Barts Health NHS Trust, Government of the United Kingdom - Portsmouth Hospitals University NHS Trust, University of Birmingham, NHS Foundation Trust - Cambridge University Hospitals, University Hospitals Coventry and Warwickshire, Government of the United Kingdom - North Bristol NHS Trust, Guy’s and St Thomas’ NHS Foundation Trust, Independent, Imperial College London, Nottingham University Hospitals NHS Trust, University Hospitals of Leicester NHS Trust, Newcastle University, Liverpool University Hospitals NHS Foundation Trust, Leeds Teaching Hospitals NHS Trust, Leeds Teaching Hospitals NHS Trust, University Hospitals Birmingham NHS Foundation Trust, University of Oxford - Nuffield Department of Surgical Sciences, Royal Infirmary of Edinburgh, University of Edinburgh, University Hospitals Coventry and Warwickshire, University Hospitals Coventry and Warwickshire, Cardiff and Vale University Health Board, University of Oxford - Nuffield Department of Surgical Sciences, Government of the United Kingdom - Queen Elizabeth University Hospital, Government of the United Kingdom - Queen Elizabeth University Hospital, Government of the United Kingdom - North Bristol NHS Trust, The University of Manchester - Manchester University NHS Foundation Trust, St George's University Hospitals NHS Foundation Trust, Government of the United Kingdom - Barts Health NHS Trust, University College London, NHS Foundation Trust - Cambridge University Hospitals, Royal Free London NHS Foundation Trust, Government of the United Kingdom - Portsmouth Hospitals University NHS Trust, Government of the United Kingdom - Portsmouth Hospitals University NHS Trust, University Hospitals Plymouth NHS Trust, University Hospitals Plymouth NHS Trust, Sheffield Teaching Hospitals NHS Foundation Trust, University of Sheffield, University of Sheffield and University of Cambridge - Addenbrooke's Hospital
Downloads 221 (345,205)

Abstract:

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2.

The ADVENT Study: A Multi-Centre, Prospective, Double-Blinded, Pilot Study Evaluating the Sensitivity of Artificial Intelligence Driven Automatic Detection of Proximal Deep Vein Thrombosis

Number of pages: 23 Posted: 02 Jul 2024
University of Oxford - John Radcliffe Hospital, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, University of Sheffield, Oxford Haemophilia and Thrombosis Centre, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, NHS Blood and Transplant Clinical Trials Unit, ThinkSono - ThinkSono GmbH and ThinkSono, King's College London
Downloads 187 (409,459)
Citation 1

Abstract:

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artificial intelligence, deep vein thrombosis, clinical trial, diagnostic ultrasound