Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Heloise Jenney"'
Publikováno v:
BMJ Health & Care Informatics, Vol 27, Iss 3 (2020)
Background Up to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.Objectives To determine
Externí odkaz:
https://doaj.org/article/fd83d6d1b7ff457abffbe8e90c6e2888
Autor:
Kate Reynolds, Thomas York, William Harland, Darren Leong, Greg Munro, Christopher Franklin, Heloise Jenney
Publikováno v:
Skeletal Radiology
Introduction Plain radiographs are a globally ubiquitous means of investigation for injuries to the musculoskeletal system. Despite this, initial interpretation remains a challenge and inaccuracies give rise to adverse sequelae for patients and healt
Autor:
Devkishan Chauhan, William Harland, Alice Gargan, Heloise Jenney, Michael Fertleman, Kate Thomas, Georgina Phillips, Alexander A Maini, Saadiq M Moledina
Publikováno v:
International Journal of General Medicine. 13:1157-1165
Background/Introduction: The coronavirus disease 2019 (COVID-19) pandemic has affected all aspects of inpatient hospital medicine with patients admitted from level 1 (general medical wards) to level 3 (intensive care). Often, there are subtle physiol
Publikováno v:
BMJ Health & Care Informatics
BMJ Health & Care Informatics, Vol 27, Iss 3 (2020)
BMJ Health & Care Informatics, Vol 27, Iss 3 (2020)
BackgroundUp to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.ObjectivesTo determine p