Latest AI and machine learning research in urology for healthcare professionals.
Although living donor kidney transplantation (LDKT) generally achieves excellent outcomes, 5ā12% of recipients experience early graft dysfunction, which is associated with poorer long-term survival. Current predictive tools rely mainly on clinical parameters and lack intraoperative applicability. Laser speckle contrast imaging (LSCI) enables real-time, non-contact assessment of renal microcirculat...
Assessment of interstitial fibrosis is essential in the diagnosis and prognosis of kidney diseases. However, current histologic scoring methods using trichrome-stained slides are limited by inter-observer variability and inconsistent stain reproducibility. To address these challenges, we developed DUET (DUal-mode Emission and Transmission) microscopy, a novel imaging platform that rapidly captures...
Digital assays are in wide development for biomarker quantification at the single-molecule level, but the common use of surface-pulldown steps limits ...
Diabetes mellitus (DM) is a major risk factor for acquiring infections. Metformin, the first-line treatment for type 2 DM, is associated with benefici...
Urinary tract infections (UTIs) are among the most common bacterial infections worldwide, typically diagnosed using a urine culture. However, urine cu...
Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant settings offers a unique opportunity to inform postope...
Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies provide an avenu...
Simulation models inform health policy decisions by integrating data from multiple sources and forecasting outcomes when there is a lack of comprehens...
Cardiac myosin inhibitors (CMIs) have revolutionized care for patients with obstructive hypertrophic cardiomyopathy (HCM), however they are associated...
Anterior quadratus lumborum (QL) block is a regional anesthesia technique shown to provide both somatic and visceral pain relief by targeting lower th...
Risk scores are essential to evidence-based cardiovascular care, but manual calculation is labor-intensive and error-prone. Large language models (LLM...
Chronic Kidney Disease (CKD) is a progressive condition requiring evidence-based management, but adherence to complex guidelines remains challenging. ...
Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses that vary widely among individuals. However, research...
There have been many promising developments in deep learning to identify degrees of malignancies in prostate cancer pathologies. Deep network models h...
We deployed large language model (LLM) decision support for health workers at two outpatient clinics in Nigeria. For each patient, health workers draf...
Clinical and population decision-making relies on the systematic evaluation of extensive regulatory evidence. The FDA drug reviews provide detailed in...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance ther...
To evaluate whether the well-established age-related reduction in antral follicle counts (AFC) is greater among women with higher concentrations of en...
To identify clusters of high-cost patients in England based on diagnoses and sociodemographic characteristics to inform targeted population health man...
Computational pathology increasingly relies on foundation models pre-trained on large-scale histopathology datasets, but existing models require subst...