INTRODUCTION: Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, a...
Noncontrast CT (NCCT) relies on labor-intensive examinations of CT slices to identify urolithiasis in the urinary tract, and, despite the use of deep-learning algorithms, false positives remain. A total of 410 NCCT axial scans from patients undergo...
International braz j urol : official journal of the Brazilian Society of Urology
Jan 1, 2022
INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images.
PURPOSE OF REVIEW: There has a been rapid progress in the use of artificial intelligence in all aspects of healthcare, and in urology, this is particularly astute in the overall management of urolithiasis. This article reviews advances in the use of ...
BACKGROUND: The digital transformation of society has a tremendous impact on both medicine and healthcare. The generation and processing of continuously growing amounts of digital data can be used to facilitate new approaches in research, particularl...
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