AIMC Topic: Urinary Bladder

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Characteristic genes and immune landscape of interstitial cystitis.

PloS one May 28, 2025
BACKGROUND: Interstitial cystitis (IC) was still a disease with the exclusive diagnosis and lacked an effective gold standard. It was of great significance to find diagnostic markers for IC. Our study was aimed to screen characteristic genes via mach...
Adaptor Proteins, Signal Transducing Urinary Bladder Cystitis, Interstitial Algorithms Gene Expression Profiling ROC Curve Humans Machine Learning
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Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments.

Journal of applied clinical medical physics Apr 23, 2025
Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra-hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter-fraction variabil...
Rectum Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Cone-Beam Computed Tomography Prostatic Neoplasms Urinary Bladder Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Humans Retrospective Studies Male
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Machine learning modeling and multi objective optimization of artificial detrusor.

Scientific reports Apr 22, 2025
To address the problem of obtaining optimal design parameters for existing artificial detrusors using single-objective optimization methods, this research proposed a machine learning-based artificial detrusor modeling and multi-objective optimization...
Urinary Bladder Algorithms Humans Animals Machine Learning
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Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology-Proof of Concept Clinical Study.

Neurourology and urodynamics Apr 1, 2025
INTRODUCTION: Overactive bladder (OAB) is a common urological condition with increasing prevalence, especially in an aging population. Diagnosing and treating OAB can be challenging. While urodynamic study (UDS) is useful to confirm involuntary detru...
Humans Artificial Intelligence Cystoscopy Adult Proof of Concept Study Prospective Studies Male Urinary Bladder Female Urodynamics Middle Aged Aged Urinary Bladder, Overactive
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Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach.

Magnetic resonance imaging Mar 7, 2025
OBJECTIVE: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images.
Healthy Volunteers Humans Urinary Bladder Ureter Deep Learning Female Image Processing, Computer-Assisted Adult Magnetic Resonance Imaging Male
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Unsupervised neural network-based image stitching method for bladder endoscopy.

PloS one Feb 18, 2025
Bladder endoscopy enables the observation of intravesical lesion characteristics, making it an essential tool in urology. Image stitching techniques are commonly employed to expand the field of view of bladder endoscopy. Traditional image stitching m...
Neural Networks, Computer Algorithms Urinary Bladder Image Processing, Computer-Assisted Endoscopy Humans Unsupervised Machine Learning Cystoscopy
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Deep Learning and Numerical Analysis for Bladder Outflow Obstruction and Detrusor Underactivity Diagnosis in Men: A Novel Urodynamic Evaluation Scheme.

Neurourology and urodynamics Jan 13, 2025
OBJECTIVES: To automatically identify and diagnose bladder outflow obstruction (BOO) and detrusor underactivity (DUA) in male patients with lower urinary tract symptoms through urodynamics exam.
Lower Urinary Tract Symptoms Urinary Bladder Urinary Bladder Neck Obstruction Urodynamics Urinary Bladder, Underactive Male Humans Middle Aged Neural Networks, Computer Deep Learning Retrospective Studies Aged Adult
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Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning.

Cells Dec 26, 2024
The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by ...
Microscopy, Atomic Force Humans Urinary Bladder Machine Learning Cell Line, Tumor ROC Curve Urinary Bladder Neoplasms Epithelial Cells
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A multimodal deep-learning model based on multichannel CT radiomics for predicting pathological grade of bladder cancer.

Abdominal radiology (New York) Dec 18, 2024
OBJECTIVE: To construct a predictive model using deep-learning radiomics and clinical risk factors for assessing the preoperative histopathological grade of bladder cancer according to computed tomography (CT) images.
Aged Aged, 80 and over Radiomics Retrospective Studies Tomography, X-Ray Computed Female Urinary Bladder Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Urinary Bladder Male Middle Aged Deep Learning Humans
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Deep-Learning Model for Quality Assessment of Urinary Bladder Ultrasound Images Using Multiscale and Higher-Order Processing.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Autonomous ultrasound image quality assessment (US-IQA) is a promising tool to aid the interpretation by practicing sonographers and to enable the future robotization of ultrasound procedures. However, autonomous US-IQA has several challenges. Ultras...
Ultrasonography Humans Image Processing, Computer-Assisted Algorithms Urinary Bladder Deep Learning
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