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Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying endotracheal tube position on plain chest X-ray: a multi-case multi-reader study

Title:	Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying endotracheal tube position on plain chest X-ray: a multi-case multi-reader study
Authors:	Novak, Alex^{Aff1, IDs13054025055666_cor1}; Ather, Sarim^Aff1; Morgado, Abdala T. Espinosa^Aff1; Maskell, Giles^Aff2; Cowell, Gordon W.^Aff3; Black, Douglas^Aff4; Shah, Akshay^{Aff5, Aff6}; Bowness, James S.^Aff7; Shadmaan, Amied^Aff8; Bloomfield, Claire^Aff9; Oke, Jason L.^Aff9; Johnson, Hilal^Aff9; Beggs, Mark^Aff9; Gleeson, Fergus^Aff9; Aylward, Peter^Aff10; Hafeez, Aqib^Aff11; Elramlawy, Moustafa^Aff12; Lam, Kin^Aff15; Griffiths, Benjamin^Aff13; Harford, Mirae^Aff14; Aaron, Louise^Aff12; Seeley, Claire^Aff14; Luney, Matthew^Aff12; Kirkland, James^Aff13; Wing, Louise^Aff13; Qamhawi, Zahi^Aff13; Mandal, Indrajeet^Aff13; Millard, Thomas^Aff13; Chimbani, Michelle^Aff13; Sharazi, Athirah^Aff13; Bryant, Emma^Aff13; Haithwaite, Wendy^Aff13; Medonica, Aurora^Aff13
Source:	Critical Care. 29(1)
Database:	Springer Nature Journals