G. Lughezzani

Advances in preclinical tissue engineering strategies for bladder reconstruction: a systematic review.

INTRODUCTION Bladder reconstruction remains challenging in pediatric patients needing augmentation cystoplasty for congenital anomalies, malignancies, or trauma. This review synthesizes in vitro and in vivo evidence on tissue-engineering strategies for pediatric bladder reconstruction. MATERIALS AND METHODS PRISMA gu...

MUSegNet: Automated detection of clinically significant prostate cancer on micro-ultrasound.

Artificial intelligence for predicting BCG response in non-muscle-invasive bladder cancer: a systematic review.

OBJECTIVES To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment response and clinical outcomes after intravesical bacillus Calmette-Guérin (BCG) in non-muscle-invasive bladder cancer (NMIBC), a setting in which current risk calculators...

Real-time artificial intelligence-based anatomy recognition in single-port transvesical enucleation of the prostate.

The potential utility of AI to provide intraoperative anatomical guidance during STEP is demonstrated, establishing a foundation for future clinical integration and performance optimization.