Urology

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

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Toward autonomous robotic prostate biopsy: a pilot study.

PURPOSE: We present the validation of PROST, a robotic device for prostate biopsy. PROST is designed...

Is off-clamp robot-assisted partial nephrectomy beneficial for renal function? Data from the CLOCK trial.

OBJECTIVES: To compare the functional outcomes of on- vs off-clamp robot-assisted partial nephrectom...

Management of urethral strictures and stenosis caused by the endo-urological treatment of benign prostatic hyperplasia-a single-center experience.

OBJECTIVE: Urethral stricture disease after endo-urological treatment of benign prostatic hyperplasi...

Evaluation of Iron Status by Reticulocyte Haemoglobin Content (Chr) in Chronic Kidney Disease Patients on Haemodialysis and Erythropoietin.

Diagnosing iron deficiency with currently available tests is difficult in patients with chronic kidn...

Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.

One essential step in radiotherapy treatment planning is the organ at risk of segmentation in Comput...

Robotic salvage pelvic lymph node dissection for locoregional recurrence after radical prostatectomy: a single institution experience.

OBJECTIVES: To assess treatment response (PSA < 0.2 ng/ml), need for additional therapy and complica...

Molecular insights on ABL kinase activation using tree-based machine learning models and molecular docking.

Abelson kinase (c-Abl) is a non-receptor tyrosine kinase involved in several biological processes es...

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.

BACKGROUND: Gleason grading of prostate cancer is an important prognostic factor, but suffers from p...

A Wide-Range Stiffness-Tunable Soft Actuator Inspired by Deep-Sea Glass Sponges.

Achieving both high compliance and stiffness is a key issue in stiffness-tunable soft robots. A wide...

Deep learning-based synthetic CT generation for MR-only radiotherapy of prostate cancer patients with 0.35T MRI linear accelerator.

PURPOSE: To develop a deep learning model to generate synthetic CT for MR-only radiotherapy of prost...

A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme.

Find the global optimal solution of the model is one promising research topic in computational intel...

Harnessing clinical annotations to improve deep learning performance in prostate segmentation.

PURPOSE: Developing large-scale datasets with research-quality annotations is challenging due to the...

Robot-assisted Versus Open Radical Cystectomy in Bladder Cancer: An Economic Evaluation Alongside a Multicentre Comparative Effectiveness Study.

BACKGROUND: Open radical cystectomy (ORC) is regarded as the standard treatment for muscle-invasive ...

Quality control stress test for deep learning-based diagnostic model in digital pathology.

Digital pathology provides a possibility for computational analysis of histological slides and autom...

A risk grouping algorithm for predicting factors of persistently elevated prostate-specific antigen in patients following robot-assisted radical prostatectomy.

OBJECTIVE: After radical prostatectomy, prostate-specific antigen(PSA) value measuring ≥0.1 ng/mL is...

Perioperative Outcomes of Robot-Assisted Radical Cystectomy with Intracorporeal Versus Extracorporeal Urinary Diversion.

PURPOSE: This study was designed to investigate and compare the perioperative outcomes of intracorpo...

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