An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype.
Sarkar N, Kumagai M, Meyr S, Pothapragada S, Unberath M, Li G, Ahmed SR, Smith EB, Davis MA, Khatri GD, Agrawal A, Delproposto ZS, Chen H, Caballero CG, Dreizin D.
Sarkar N, et al. Among authors: agrawal a.
Emerg Radiol. 2024 Apr;31(2):167-178. doi: 10.1007/s10140-024-02202-8. Epub 2024 Feb 2.
Emerg Radiol. 2024.
PMID: 38302827
Free PMC article.