Urology

Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study.

INTRODUCTION: Complex oncological procedures pose various surgical challenges including dissection i...

Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size.

BACKGROUND: Weakly supervised learning promises reduced annotation effort while maintaining performa...

Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.

OBJECTIVES: To evaluate a fully automatic deep learning system to detect and segment clinically sign...

AI-generated R.E.N.A.L.+ Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes.

OBJECTIVE: To determine whether we can surpass the traditional R.E.N.A.L. nephrometry score (H-score...

Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality.

PURPOSE: To evaluate the impact of a commercially available deep learning-based reconstruction (DLR)...

Can Chat-GPT a substitute for urological resident physician in diagnosing diseases?: a preliminary conclusion from an exploratory investigation.

AndroPred: an artificial intelligence-based model for predicting androgen receptor inhibitors.

Androgen receptor (AR), a steroid receptor, plays a pivotal role in the pathogenesis of prostate can...

Retrospective evaluation of the improvement in the urinary status-related quality of life after robot-assisted radical prostatectomy.

OBJECTIVES: This study aimed to investigate the characteristics of patients who report improvement i...

Artificial Intelligence and Pathomics: Prostate Cancer.

Artificial intelligence (AI) has the potential to transform pathologic diagnosis and cancer patient ...

Lymph node dissection during radical cystectomy for bladder cancer: A two-center comparative study of robotic versus open surgery.

INTRODUCTION: This study was performed to evaluate the safety and efficacy of lymph node dissection ...

An AI Predictive Model to Determine Who Benefits from ADT with Radiation: Working Smarter, Not Harder.

Whether you are a surgical, medical, or radiation oncologist, the care goals remain the same, that i...

Prognostic impact of palpable prostate tumors on disease progression after robot-assisted radical prostatectomy: a single-center experience.

OBJECTIVE: This study aimed to evaluate the impact of palpable prostate tumors on digital rectal exa...

Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study.

BACKGROUND: The introduction of multiparameter MRI and novel biomarkers has greatly improved the pre...

Value-based healthcare for bladder cancer patients undergoing robot-assisted radical cystectomy.

Minimally invasive nephron-sparing treatments for T1 renal cell cancer in patients over 75 years: a comparison of outcomes after robot-assisted partial nephrectomy and percutaneous ablation.

PURPOSE: To compare the oncological and perioperative outcomes of robot-assisted partial nephrectomy...

Biochemical recurrence after chemohormonal therapy followed by robot-assisted radical prostatectomy in very-high-risk prostate cancer patients.

Robot-assisted radical prostatectomy (RARP) has become one of the standard radical treatments for pr...

Robot-Assisted Laparoscopic Prostatectomy Experience and Pathological Quality: Are They Always Linked?

We investigated whether pathological outcomes improved with experience and surgeon generation after...

Caution! AI Bot Has Entered the Patient Chat: ChatGPT Has Limitations in Providing Accurate Urologic Healthcare Advice.

OBJECTIVE: To conduct the first study examining the accuracy of ChatGPT, an artificial intelligence ...

Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets.

Infrared (IR) spectroscopic imaging is potentially useful for digital histopathology as it provides ...

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...

Senhance robotic radical prostatectomy: A single-centre, 3-year experience.

BACKGROUND: Senhance Surgical System is a novel robotic platform used in University Hospital Centre ...