Overview of current applications and trends in artificial intelligence for cystoscopy and transurethral resection of bladder tumours

Can cystoscopy artificial intelligence overcome differences between cystoscope products?

(2023) A. Ikeda et al.   EUROPEAN UROLOGY

A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation

(2023) Qi Zhang et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence

(2023) Okyaz Eminaga et al.   JOURNAL OF BIOMEDICAL INFORMATICS

PD01-09 A TRANSFORMER-AUGMENTED DEEP LEARNING ALGORITHM, CYSTONET-T, FOR IMPROVED CYSTOSCOPIC BLADDER CANCER DETECTION

(2023) Eugene Shkolyar et al.   JOURNAL OF UROLOGY

PD13-03 A CYSTOSCOPY ARTIFICIAL INTELLIGENCE SYSTEM THAT CAN BE USED WITH CYSTOSCOPES PRODUCED BY DIFFERENT MANUFACTURERS

(2023) Atsushi Ikeda et al.   JOURNAL OF UROLOGY

Global trends in the epidemiology of bladder cancer: challenges for public health and clinical practice

(2023) Lisa M. C. van Hoogstraten et al.   Nature Reviews Clinical Oncology

Artificial Intelligence—The Rising Star in the Field of Gastroenterology and Hepatology

(2023) Madalina Stan-Ilie et al.   Diagnostics

Audit, Feedback, and Education to Improve Quality and Outcomes in Transurethral Resection and Single-Instillation Intravesical Chemotherapy for Nonmuscle Invasive Bladder Cancer Treatment: Protocol for a Multicenter International Observational Study With an Embedded Cluster Randomized Trial

(2023) Kevin Gallagher et al.   JMIR Research Protocols

Artificial intelligence for segmentation of bladder tumor cystoscopic images performed by U-Net with dilated convolution

(2022) Jun Mutaguchi et al.   JOURNAL OF ENDOUROLOGY

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures

(2022) S. O’Sullivan et al.   WORLD JOURNAL OF UROLOGY

Detection of bladder cancer with feature fusion, transfer learning and CapsNets

(2022) Nuno R. Freitas et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

PD26-02 REAL-TIME BLADDER TUMOR DETECTION AT CLINICS IN FLEXIBLE CYSTOSCOPY WITH WHITE LIGHT AND NARROW BAND IMAGING USING DEEP LEARNING

(2022) Atsushi Ikeda et al.   JOURNAL OF UROLOGY

Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method

(2022) Jeong Woo Yoo et al.   Scientific Reports

A meta-fusion RCNN network for endoscopic visual bladder lesions intelligent detection

(2022) Jie Lin et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study

(2021) Shaoxu Wu et al.   JNCI-Journal of the National Cancer Institute

Does Artificial Intelligence Meaningfully Enhance Cystoscopy?

(2021) Andrew T Lenis et al.   JNCI-Journal of the National Cancer Institute

A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients

(2020) Rodrigo Suarez-Ibarrola et al.   MINIMALLY INVASIVE THERAPY & ALLIED TECHNOLOGIES