AIMC Topic: Urinary Calculi

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Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

European radiology Nov 26, 2019
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed tomography and machine learning.
Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed Calcium Oxalate Uric Acid Phantoms, Imaging Cysteine Xanthine Kidney Calculi Calcium Phosphates Struvite Urinary Calculi Humans Neural Networks, Computer Machine Learning Algorithms
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A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Mar 1, 2025
In small animal practice, patients often present with urinary lithiasis, and prediction of urolith composition is essential to determine the appropriate treatment. Through abdominal radiographs, the composition of mineral radiopaque uroliths can be d...
Artificial Intelligence Animals Male Pilot Projects Algorithms Female Struvite Urinary Calculi Radiography, Abdominal Urolithiasis Dogs Dog Diseases
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Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy.

PloS one Jan 1, 2025
Patients after holmium laser lithotripsy have a certain probability of getting postoperative infection. An early and accurate diagnosis of postoperative infection allows a timely administration of appropriate antibiotic treatment. However, doctors ca...
Adult Male Middle Aged Female Aged Lasers, Solid-State Lithotripsy, Laser Urinary Calculi Postoperative Complications Machine Learning Urinary Tract Infections Retrospective Studies Humans
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Deep Learning for the Study of Urinary Stone Composition from Computed Tomography Images.

Archivos espanoles de urologia Nov 1, 2024
OBJECTIVES: Urinary stones composed of uric acid can be treated with medicine. Computed tomography (CT) can diagnose urinary stone disease, but it is difficult to predict the type of uric stones. This study aims to develop a method to distinguish pur...
Urinary Calculi Deep Learning Uric Acid Female Aged Male Middle Aged Adult Retrospective Studies Tomography, X-Ray Computed Humans
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Deep-Learning Segmentation of Urinary Stones in Noncontrast Computed Tomography.

Journal of endourology May 1, 2023
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...
Urinary Calculi Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning Urolithiasis
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Deep learning is a promising technology and seems to be the future of the CT stone evaluation.

International braz j urol : official journal of the Brazilian Society of Urology Jan 1, 2022
Tomography, X-Ray Computed Humans Deep Learning Technology Urinary Calculi
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Artificial intelligence in the diagnosis, treatment and prevention of urinary stones.

Current opinion in urology Nov 1, 2020
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 ...
Humans Nephrolithotomy, Percutaneous Neural Networks, Computer Artificial Intelligence Ureteroscopy Electronic Health Records Lithotripsy Treatment Outcome Urinary Calculi Machine Learning Urolithiasis Tomography, X-Ray Computed
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