Bilaketaren emaitzak - Neil J. Sebire

Diagnostic accuracy of perinatal post-mortem ultrasound (PMUS): a systematic review nork Neil J Sebire, Susan Shelmerdine, Dean Langan, Owen Arthurs

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Causes of sudden unexpected death in infants with and without pre-existing conditions: a retrospective autopsy study nork Neil J Sebire, Liina Palm, Rosalie Cattermole, John Ciaran Hutchinson

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Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare nork Owen J Arthurs, Neil J Sebire, Alastair Denniston, Susan Cheng Shelmerdine

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Phishing in healthcare organisations: threats, mitigation and approaches nork Ward Priestman, Tony Anstis, Isabel G Sebire, Shankar Sridharan, Neil J Sebire

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Artificial intelligence for radiological paediatric fracture assessment: a systematic review nork Susan C. Shelmerdine, Richard D. White, Hantao Liu, Owen J. Arthurs, Neil J. Sebire

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A scoping review of the electronic collection and capture of patient reported outcome measures for children and young people in the hospital setting nork Anne Alarilla, Neil J. Sebire, Josh Keith, Mario Cortina-Borja, Jo Wray, Gwyneth Davies

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Network graph representation of COVID-19 scientific publications to aid knowledge discovery nork Neil J Sebire, George Cernile, Trevor Heritage, Ben Gordon, Taralyn Schwering, Shana Kazemlou, Yulia Borecki

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Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study nork Neil J Sebire, Stephen D Marks, John Booth, Spiros Denaxas, Rebecca Pope, William A Bryant, Maria H Eriksson

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Impact of the COVID-19 pandemic on radiology appointments in a tertiary children’s hospital: a retrospective study nork Mario Cortina-Borja, Andrew Taylor, Neil J Sebire, Susan Shelmerdine, Dean Langan, Owen Arthurs, John Booth, William A Bryant

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Establishing risk factors and outcomes for congenital hypothyroidism with gland in situ using population-based data linkage methods: study protocol nork Erin Walker, Rachel Knowles, Catherine Peters, Neil J Sebire, Melissa Cabecinha, Helen Aitkenhead, Milagros Ruiz Nishiki, Adeboye Ifederu, Nadia Schoenmakers

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Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context nork Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

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Corrigendum to ‘Use of an ambient artificial intelligence tool to improve quality of clinical documentation’ Future Healthcare Journal Volume 11, Issue 3, September 2024, 100157 nork Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J. Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta

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A platform for generating clinical intelligence from routine health data in hospitals: PICTURE nork Stuart A Bowyer, Eleni Pissaridou, John Booth, Daniel Key, William A Bryant, Ewart Sheldon, Alexandros Zenonos, Rebecca Pope, Harry Hemingway, Andrew Taylor, Neil J Sebire

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Use of an ambient artificial intelligence tool to improve quality of clinical documentation nork Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J. Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta

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Mimicking 3D bone microenvironment using a hybrid hydrogel-nanocomposite scaffold and human adipose-derived stem cells for bone differentiation and vascularization nork Amel Ibrahim, Oliver FW Gardner, Naira Rodriguez-Florez, John C Hutchinson, Alexander Seifalian, Daniel Thomas-Vazque, Neil J Sebire, David Dunaway, Neil W Bulstrode, Patrizia Ferretti

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TP53 mutational status is a potential marker for risk stratification in Wilms tumour with diffuse anaplasia. nork Mariana Maschietto, Richard D Williams, Tasnim Chagtai, Sergey D Popov, Neil J Sebire, Gordan Vujanic, Elizabeth Perlman, James R Anderson, Paul Grundy, Jeffrey S Dome, Kathy Pritchard-Jones

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Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease nork Eleni Pissaridou, Harry Hemingway, Neil J Sebire, John Booth, Spiros Denaxas, Rebecca Pope, Andrew M Taylor, Daniel Key, William A Bryant, Stuart Bowyer, Joshua William Spear, Anastasia Spiridou

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Real-world learnings for digital health industry–NHS collaboration: Life sciences vision in action nork Rebecca Pope, Alexandros Zenonos, William Bryant, Anastasia Spiridou, Daniel Key, Shiren Patel, Jack Robinson, Anna Styles, Chris Rockenbach, Gina Bicknell, Pavithra Rajendran, Andrew M. Taylor, Neil J. Sebire

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Germline duplication of MYCN predisposes to childhood embryonal tumoursResearch in context nork Catherine A. Taylor, Philippa May, Thomas J. Stone, Munaza Ahmed, Tanzina Chowdhury, Deborah A. Tweddle, Shaun Wilson, Ken Hanscombe, J. Ciaran Hutchinson, Jessica C. Pickles, Neil J. Sebire, Thomas S. Jacques

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Corrigendum: Does progesterone prophylaxis to prevent preterm labour improve outcome? A randomised double-blind placebo-controlled trial (OPPTIMUM) nork Jane E Norman, Neil Marlow, Claudia-Martina Messow, Andrew Shennan, Philip R Bennett, Steven Thornton, Stephen C Robson, Alex McConnachie, Stavros Petrou, Neil J Sebire, Tina Lavender, Sonia Whyte, John Norrie, for the OPPTIMUM study group

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