An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype.

Nathan SarkarMitsuo KumagaiSamantha MeyrSriya PothapragadaMathias UnberathGuang LiSagheer Rauf AhmedElana Beth SmithMelissa Ann DavisGarvit Devmohan KhatriAnjali AgrawalZachary Scott DelpropostoHaomin ChenCatalina Gómez CaballeroDavid Dreizin

Published in: Emergency radiology (2024)

SpleenPro was useful for improving objectivity of AAST grading and increasing mental support. Formative user research identified generalizable concepts including the need for a combined detection and grading pipeline and integration with the clinical workflow.

Keyphrases

mental health
artificial intelligence
clinical practice
deep learning