Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Comparison of diagnostic performance between manual diagnosis following PROMISE V2 and aPROMISE utilizing Ga/F-PSMA PET/CT.

BACKGROUNDS: Automated PROMISE (aPROMISE), which is an artificial intelligence-supported software fo...

Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning.

Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor hete...

Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction.

Molecular biostatistical workflows in oncology often rely on predictive models that use multimodal d...

Driven early detection of chronic kidney cancer disease based on machine learning technique.

In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal ...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

[Digital urology : Possible uses for artificial intelligence and digital health applications].

BACKGROUND: Urology presents itself as a modern and future-oriented discipline. Artificial intellige...

HARISS: Histogram Analyzer for Reference Intervals of Small Samples, a Free Web App to Calculate Reference Intervals of Small Samples.

BACKGROUND: Reference interval (RI) estimate inaccuracy is problematic at small sample sizes. Visual...

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the t...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones.

BACKGROUND: Lower pole renal stones (LPS) present unique challenges for retrograde intrarenal surger...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

Hyperspectral Imaging Accurately Detects Renal Malperfusion Due to High Intrarenal Pressure.

BACKGROUND AND OBJECTIVE: High intrarenal pressure (IRP) is a significant concern in both endoscopic...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating ...

Current Applications and Limitations of Augmented Reality in Urological Surgery: A Practical Primer and 'State of the Field'.

PURPOSE OF REVIEW: To provide a primer for how augmented reality (AR)-guided surgical technology wor...

Current state of AI for shockwave lithotripsy: a systematic review from YAU and EAU endourology.

PURPOSE: To consolidate the current evidence of artificial intelligence (AI) for management of nephr...

Identifying pivotal sites affecting thermostability of GH11 xylanase via conventional and deep learning-based energy calculation.

The GH11 xylanase XynCDBFV, derived from Neocallimastix patriciarum, is widely used in various indus...

Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L.

The increasing demand for natural medicine has increased the significance of Silybum marianum as a v...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic ...

Rprot-Vec: a deep learning approach for fast protein structure similarity calculation.

BACKGROUND: Predicting protein structural similarity and detecting homologous sequences remain funda...

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