Latest AI and machine learning research in urology for healthcare professionals.
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...
Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the fi...
BACKGROUND: We retrospectively examined image quality (IQ) of thin-slice virtual monochromatic imagi...
Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) s...
Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating...
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) prog...
Chronic kidney disease is characterised by the progressive loss of kidney function. However, predict...
Predicting cisplatin-induced acute kidney injury (Cis-AKI) before its onset is important. We aimed t...
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...
Currently, the types of kidney stones before surgery are mainly identified by human beings, which di...
PURPOSE: To create a nomogram for accurate prognosis of patients with clear cell renal cell carcinom...
BACKGROUND: Surgery and radiotherapy are primary nonconservative treatments for prostate cancer (PCa...
BACKGROUND: cfDNA fragmentomics-based liquid biopsy is a potential option for noninvasive bladder ca...
BACKGROUND: Machine learning has emerged as a potent tool in healthcare. A decision tree model was b...
BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (P...
BACKGROUND: Outcome prediction for live-donor kidney transplantation improves clinical and patient d...
Artificial intelligence (AI)-based multi-modal fusion algorithms are pivotal in emulating clinical p...
The selection of biomarker panels in omics data, challenged by numerous molecular features and limit...
OBJECTIVES: Urinary stones composed of uric acid can be treated with medicine. Computed tomography (...
OBJECTIVE: End-stage renal disease (ESRD) commonly manifests with disrupted calcium balance, leading...