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pro vyhledávání: '"Mathias W. Brejnebøl"'
Autor:
Anders Lenskjold, Mathias W Brejnebøl, Martin H Rose, Henrik Gudbergsen, Akshay Chaudhari, Anders Troelsen, Anne Moller, Janus U Nybing, Mikael Boesen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Humans have been shown to have biases when reading medical images, raising questions about whether humans are uniform in their disease gradings. Artificial intelligence (AI) tools trained on human-labeled data may have inherent human non-uni
Externí odkaz:
https://doaj.org/article/777a5ee5c71a484d8c14dd0bc0984458
Publikováno v:
Brejnebøl, M W, Nielsen, Y W, Taubmann, O, Eibenberger, E & Müller, F C 2022, ' Artificial Intelligence based detection of pneumoperitoneum on CT scans in patients presenting with acute abdominal pain : A clinical diagnostic test accuracy study ', European Journal of Radiology, vol. 150, 110216 . https://doi.org/10.1016/j.ejrad.2022.110216
Purpose: The primary aim was to investigate the diagnostic performance of an Artificial Intelligence (AI) algorithm for pneumoperitoneum detection in patients with acute abdominal pain who underwent an abdominal CT scan. Method: This retrospective di