Gordon Cowell (@gordoncowell.bsky.social)

Enjoyed being a part of this project showing assistive AI technology can improve accuracy in interpreting ETT placement on CXR. Glasgow's involvment in the NCIMI project is a great example of collaborative working.

loading . . .

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-ca... Background Incorrectly placed endotracheal tubes (ETTs) can lead to serious clinical harm. Studies have demonstrated the potential for artificial intelligence (AI)-led algorithms to detect ETT placeme... https://ccforum.biomedcentral.com/articles/10.1186/s13054-025-05566-6