EMERGE: Evaluating the value of Measuring Random Plasma Glucose Values for Managing Hyperglycemia in the Inpatient Setting.

Autor: Manzoor S; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada.; Department of Medicine, University of Toronto, Toronto, Ontario, Canada., Colacci M; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada.; Department of Medicine, University of Toronto, Toronto, Ontario, Canada., Moggridge J; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada., Gyenes M; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada., Biering-Sørensen T; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Højbjerg Lassen MC; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Razak F; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Division of General Internal Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada., Verma A; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Division of General Internal Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada., Sarma S; Department of Medicine, University of Toronto, Toronto, Ontario, Canada., Fralick M; Division of General Internal Medicine, Sinai Health System, Toronto, Ontario, Canada. mike.fralick@mail.utoronto.ca.; Department of Medicine, University of Toronto, Toronto, Ontario, Canada. mike.fralick@mail.utoronto.ca.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada. mike.fralick@mail.utoronto.ca.

Publikováno v: Journal of general internal medicine [J Gen Intern Med] 2023 Jul; Vol. 38 (9), pp. 2107-2112. Date of Electronic Publication: 2023 Jan 23.

Detection of Covid-19 Outbreaks Using Built Environment Testing for SARS-CoV-2.

Autor: Fralick M; Division of General Internal Medicine, Sinai Health System, Toronto., Nott C; The Ottawa Hospital Research Institute, Ottawa.; Department of Medicine, University of Ottawa, Ottawa., Moggridge J; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto., Castellani L; Sault Area Hospital, Sault Ste. Marie, Ontario, Canada.; Clinical Sciences Division, NOSM University, Sudbury, Ontario, Canada., Raudanskis A; Division of General Internal Medicine, Sinai Health System, Toronto., Guttman DS; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto.; Department of Cell & Systems Biology, University of Toronto, Toronto., Hinz A; Department of Biology, University of Ottawa, Ottawa.; Department of Biology, Carleton University, Ottawa., Thampi N; Department of Pediatrics, University of Ottawa, Ottawa.; Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa., Wong A; Department of Biology, Carleton University, Ottawa.; Institute for Advancing Health Through Agriculture, Texas A&M AgriLife Research, College Station, TX., Manuel D; The Ottawa Hospital Research Institute, Ottawa.; Department of Family Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa., McGeer A; Department of Microbiology, Sinai Health System, Toronto.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto., Doukhanine E; DNA Genotek Incorporated, Ottawa., Mejbel H; Department of Biology, University of Ottawa, Ottawa., Zanichelli V; The Ottawa Hospital Research Institute, Ottawa., Burella M; Division of General Internal Medicine, Sinai Health System, Toronto.; Sault Area Hospital, Sault Ste. Marie, Ontario, Canada., Donaldson SL; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto.; Department of Cell & Systems Biology, University of Toronto, Toronto., Wang PW; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto.; Department of Cell & Systems Biology, University of Toronto, Toronto., Kassen R; Department of Biology, University of Ottawa, Ottawa., MacFadden DR; The Ottawa Hospital Research Institute, Ottawa.; Department of Medicine, University of Ottawa, Ottawa.

Publikováno v: NEJM evidence [NEJM Evid] 2023 Mar; Vol. 2 (3), pp. EVIDoa2200203. Date of Electronic Publication: 2023 Feb 17.

Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study.

Autor: Pemberton HG; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK. h.pemberton@ucl.ac.uk.; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK. h.pemberton@ucl.ac.uk.; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK. h.pemberton@ucl.ac.uk., Goodkin O; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK., Prados F; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.; Universitat Oberta de Catalunya, Barcelona, Spain., Das RK; Clinical, Educational and Health Psychology, University College London, London, UK., Vos SB; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK., Moggridge J; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK., Coath W; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Gordon E; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Barrett R; Department of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK., Schmitt A; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK., Whiteley-Jones H; Department of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK., Burd C; Guy's and St Thomas' NHS Foundation Trust, London, UK., Wattjes MP; Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany., Haller S; Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden., Vernooij MW; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands., Harper L; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Fox NC; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Paterson RW; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Schott JM; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK., Bisdas S; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK., White M; Digital Services, University College London Hospital, London, UK., Ourselin S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Thornton JS; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK., Yousry TA; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK., Cardoso MJ; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Barkhof F; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK.; Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands.

Publikováno v: European radiology [Eur Radiol] 2021 Jul; Vol. 31 (7), pp. 5312-5323. Date of Electronic Publication: 2021 Jan 15.

Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.

Autor: Molani, Alessandro¹ (AUTHOR) alessandro.molani@polimi.it, Pennati, Francesca¹ (AUTHOR), Ravazzani, Samuele¹ (AUTHOR), Scarpellini, Andrea¹ (AUTHOR), Storti, Federica Maria¹ (AUTHOR), Vegetali, Gabriele¹ (AUTHOR), Paganelli, Chiara¹ (AUTHOR), Aliverti, Andrea¹ (AUTHOR) andrea.aliverti@polimi.it

Publikováno v: Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6682. 31p.

The quantitative neuroradiology initiative framework: application to dementia.

Autor: Goodkin O; 1Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom., Pemberton H; 1Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 3Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom., Vos SB; 1Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom.; 5Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom., Prados F; 1Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.; 6Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.; 7Universitat Oberta de Catalunya, Barcelona, Spain., Sudre CH; 8School of Biomedical Engineering and Imaging Sciences, King's College London.; 9Department of Medical Physics and Biomedical Engineering, University College London., Moggridge J; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom., Cardoso MJ; 8School of Biomedical Engineering and Imaging Sciences, King's College London., Ourselin S; 8School of Biomedical Engineering and Imaging Sciences, King's College London., Bisdas S; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom., White M; 10Digital Services, University College London Hospital, London United Kingdom., Yousry T; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom., Thornton J; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom., Barkhof F; 1Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.; 2Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, United Kingdom.; 4Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, United Kingdom.; 6Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.; 11Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands.

Publikováno v: The British journal of radiology [Br J Radiol] 2019 Sep; Vol. 92 (1101), pp. 20190365. Date of Electronic Publication: 2019 Aug 01.