Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery.

Autor: Meinert E; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, UK.; Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.; Faculty of Life Sciences and Medicine, King's College London, London, UK., Milne-Ives M; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, UK., Lim E; Ufonia Limited, 104 Gloucester Green, Oxford, UK.; Imperial College Healthcare NHS Trust, Western Eye Hospital, London, UK.; Department of Computer Science, University of York, York, UK., Higham A; Ufonia Limited, 104 Gloucester Green, Oxford, UK.; Oxford University Hospitals NHS Foundation Trust, Oxford, UK., Boege S; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, UK., de Pennington N; Ufonia Limited, 104 Gloucester Green, Oxford, UK., Bajre M; Oxford Academic Health Science Network, Oxford Science Park, Robert Robinson Ave, Oxford, UK., Mole G; Ufonia Limited, 104 Gloucester Green, Oxford, UK.; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Normando E; Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK., Xue K; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Publikováno v: EClinicalMedicine [EClinicalMedicine] 2024 Jul 03; Vol. 73, pp. 102692. Date of Electronic Publication: 2024 Jul 03 (Print Publication: 2024).

Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study.

Autor: Khavandi S; Ufonia, Oxford, United Kingdom.; Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, United Kingdom.; Imperial College School of Medicine, Imperial College London, London, United Kingdom., Zaghloul F; Operations and Management Science, Healthcare and Innovation, University of Bristol, Bristol, United Kingdom., Higham A; Ufonia, Oxford, United Kingdom.; Royal Berkshire NHS Foundation Trust, Reading, United Kingdom., Lim E; Ufonia, Oxford, United Kingdom.; Department of Computer Science, University of York, York, United Kingdom., de Pennington N; Ufonia, Oxford, United Kingdom., Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States.; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, United States.

Publikováno v: JMIR research protocols [JMIR Res Protoc] 2023 Dec 05; Vol. 12, pp. e49374. Date of Electronic Publication: 2023 Dec 05.

Detection of primary and secondary brain tumours using molecularly-targeted magnetic resonance imaging

Autor: Serres, S, Kirkman, M, de Pennington, N, Bristow, C, Sibson, N

Objectives: Currently, both primary and secondary brain tumours are diagnosed and monitored clinically using passive contrast-enhanced magnetic resonance imaging (MRI). Although these methods provide reasonable information on tumour size and spatial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1064::e7653542c24729dc17f667f367d7cd6d
https://ora.ox.ac.uk/objects/uuid:4aad0f56-33bd-4601-8f40-70ea5326add4

VCAM-1-targeted MRI Improves Detection of the Tumor-brain Interface.

Autor: Cheng VWT; Department of Oncology, University of Oxford, Oxford, United Kingdom.; Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom., de Pennington N; Department of Oncology, University of Oxford, Oxford, United Kingdom., Zakaria R; Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.; Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom., Larkin JR; Department of Oncology, University of Oxford, Oxford, United Kingdom., Serres S; Department of Oncology, University of Oxford, Oxford, United Kingdom.; School of Life Sciences, University of Nottingham, Nottingham, United Kingdom., Sarkar M; Department of Oncology, University of Oxford, Oxford, United Kingdom., Kirkman MA; Department of Oncology, University of Oxford, Oxford, United Kingdom.; UCL Institute for Education, University College London, London, United Kingdom., Bristow C; Department of Oncology, University of Oxford, Oxford, United Kingdom., Croal P; Mental Health and Clinical Neurosciences & Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.; Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom., Plaha P; Nuffield Department of Surgery, University of Oxford and Department of Neurosurgery, Oxford University Hospitals NHS Trust, Oxford, United Kingdom., Campo L; Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom., Chappell MA; Mental Health and Clinical Neurosciences & Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.; Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom., Lord S; Department of Oncology, University of Oxford, Oxford, United Kingdom., Jenkinson MD; Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom., Middleton MR; Department of Oncology, University of Oxford, Oxford, United Kingdom.; Experimental Cancer Medicine Centre, Department of Oncology, University of Oxford, Oxford, United Kingdom.; Oxford National Institute for Health Research Comprehensive Biomedical Research Centre, Oxford, United Kingdom., Sibson NR; Department of Oncology, University of Oxford, Oxford, United Kingdom.

Publikováno v: Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2022 Jun 01; Vol. 28 (11), pp. 2385-2396.

The internet of things in healthcare: proof of concept opportunities in Oxford

Autor: Meinert, E, Van Velthoven, M, Brindley, D, Alturkistani, A, Foley, K, Carter, A, Rees, S, Wells, G, De Pennington, N

Background Demands on health services across the globe are increasing due to the combined challenges of an expanding and ageing population, alongside complex comorbidities that transcend the classical boundaries of modern healthcare. To meet these ch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::bd7fdbe86c0393408c3c19e3a3b36c95
http://hdl.handle.net/10044/1/65237