Urology

Generalizability of prostate MRI deep learning: does one size fit all data?

Urinary continence recovery after Retzius-sparing robot-assisted radical prostatectomy in relation to surgeon experience.

Urinary incontinence is one of the main concerns for patients after radical prostatectomy. Differenc...

Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer.

BACKGROUND: We investigated the feasibility of a deep learning algorithm (DLA) based on apparent dif...

Genomics and Artificial Intelligence: Prostate Cancer.

Artificial intelligence (AI) is revolutionizing prostate cancer genomics research. By leveraging mac...

Artificial intelligence and urology: ethical considerations for urologists and patients.

The use of artificial intelligence (AI) in medicine and in urology specifically has increased over t...

Robotic Partial Radical Nephrectomy for Clinical T3a Tumors: A Narrative Review.

T3a renal masses include a diverse group of tumors that invade the perirenal and/or sinus fat, pelv...

Long-term oncologic and functional outcomes following robot-assisted radical cystectomy and intracorporeal Padua ileal bladder: results from a single high-volume center.

PURPOSE: To report long-term oncologic and functional outcomes of a large consecutive single center ...

Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy.

: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injur...

Current urological applications of the Hugo™ RAS system.

PURPOSE: To provide an update on the diverse, contemporary urological applications of the Hugo™ RAS ...

A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.

BACKGROUND AND PURPOSE: The Stage, Size, Grade and Necrosis (SSIGN) score is the most commonly used ...

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...

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)...

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...