Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE OF REVIEW: There has been an explosion of creative uses of artificial intelligence (AI) in h...
Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile...
BACKGROUND: To construct and assess a deep learning (DL) signature that employs computed tomography ...
Indole derivatives have demonstrated significant potential as anticancer agents; however, the comple...
OBJECTIVES: This meta-analysis aimed to systematically evaluate the diagnostic performance of artifi...
OBJECTIVES: To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of ...
No studies have examined the prognostic value of the log odds of negative lymph nodes/T stage (LONT)...
Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...
Disparities in access to the organ transplant waitlist are well-documented, but research into modifi...
BACKGROUND: Accurate detection of bladder lesions during cystoscopy is crucial for early tumor diagn...
Cell-mediated immunity and chronic inflammation are hallmarks of chronic kidney disease (CKD). Growt...
PURPOSE: Artificial intelligence (AI) technology will inevitably permeate healthcare. Bing Chat is a...
Prostate cancer screening often relies on cost-intensive MRIs and invasive needle biopsies. Transrec...
Drug repositioning has emerged as a promising strategy for identifying new therapeutic applications ...
Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in ur...
Predicting blood-brain barrier (BBB) penetration is crucial for developing central nervous system (C...
To evaluate the clinical performance and safety of the ONIRY system for obstetric anal sphincter inj...
PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...
BACKGROUND: Acute kidney injury (AKI) after kidney transplantation is one of the main causes of graf...
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cance...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...