A systematic review on artificial intelligence evaluating PSMA PET scan for intraprostatic cancer
Objectives To assess artificial intelligence (AI) ability to evaluate intraprostatic prostate
cancer (PCa) on prostate‐specific membrane antigen positron emission tomography (PSMA …
cancer (PCa) on prostate‐specific membrane antigen positron emission tomography (PSMA …
TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
[HTML][HTML] Predicting Biochemical Recurrence of Prostate Cancer Post-Prostatectomy Using Artificial Intelligence: A Systematic Review
Abstract Background/Objectives: Biochemical recurrence (BCR) after radical prostatectomy
(RP) is a significant predictor of distal metastases and mortality in prostate cancer (PCa) …
(RP) is a significant predictor of distal metastases and mortality in prostate cancer (PCa) …
APPRAISE-AI Tool for quantitative evaluation of AI studies for clinical decision support
Importance Artificial intelligence (AI) has gained considerable attention in health care, yet
concerns have been raised around appropriate methods and fairness. Current AI reporting …
concerns have been raised around appropriate methods and fairness. Current AI reporting …
Application of machine learning models to predict recurrence after surgical resection of nonmetastatic renal cell carcinoma
Background Predictive tools can be useful for adapting surveillance or including patients in
adjuvant trials after surgical resection of nonmetastatic renal cell carcinoma (RCC). Current …
adjuvant trials after surgical resection of nonmetastatic renal cell carcinoma (RCC). Current …
AI-PEDURO–Artificial intelligence in pediatric urology: protocol for a living sco** review and online repository
Background Artificial intelligence (AI) and machine learning (ML) methods are increasingly
being applied in pediatric urology across a growing number of settings, with more extensive …
being applied in pediatric urology across a growing number of settings, with more extensive …
The silent trial-the bridge between bench-to-bedside clinical AI applications
As more artificial intelligence (AI) applications are integrated into healthcare, there is an
urgent need for standardization and quality-control measures to ensure a safe and …
urgent need for standardization and quality-control measures to ensure a safe and …
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI
Accurate prediction of recurrence and progression in non-muscle invasive bladder cancer
(NMIBC) is essential to inform management and eligibility for clinical trials. Despite …
(NMIBC) is essential to inform management and eligibility for clinical trials. Despite …
Automated identification of key steps in robotic-assisted radical prostatectomy using artificial intelligence
A Khanna, A Antolin, O Bar, D Ben-Ayoun… - Journal of …, 2024 - journals.lww.com
Purpose: The widespread use of minimally invasive surgery generates vast amounts of
potentially useful data in the form of surgical video. However, raw video footage is often …
potentially useful data in the form of surgical video. However, raw video footage is often …
Clinical applications of machine learning for urolithiasis and benign prostatic hyperplasia: a systematic review
Introduction: Previous systematic reviews related to machine learning (ML) in urology often
overlooked the literature related to endourology. Therefore, we aim to conduct a more …
overlooked the literature related to endourology. Therefore, we aim to conduct a more …