A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
CONCLUSIONS: We developed and tested an AI model for automatic image analysis of CTUs to detect UBC in patients with macroscopic hematuria. This model showed promising results with a high detection rate and excessive NPV. Further developments could lead to a decreased need for invasive investigations and prioritising patients with serious tumours.PMID:38698545 | DOI:10.2340/sju.v59.39930
Source: Scandinavian Journal of Urology - Category: Urology & Nephrology Authors: Suleiman Abuhasanein Lars Edenbrandt Olof Enqvist Staffan Jahnson Henrik Leonhardt Elin Tr ägårdh Johannes Ul én Henrik Kj ölhede Source Type: research
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