Latest AI and machine learning research in nephrology for healthcare professionals.
Regardless of the materials' intrinsic characteristics, electrochemical discharge drilling (ECDD) effectively micro-machines various materials. The present article optimizes the ultrasonic assisted rotary ECDD (UR-ECDD) process for maximizing the material removal rate (MRR), while minimizing the hole overcut (HOC) and circularity error (CE). The micro-holes are produced using a Taguchi's L16 array...
The comorbidities of hypertension impose a heavy burden on patients and society. Early identification is necessary to prompt intervention, but it remains a challenging task. This study aims to address this challenge by combining joint graph learning with network analysis. Motivated by this discovery, we develop a Conjoint Graph Representation Learning (CGRL) framework that: a) constructs two net...
BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases are crucial for guiding clinical decision-making and optimizing tre...
BACKGROUND: Renin-angiotensin system (RAS) inhibitors reduce risk of kidney failure in patients with chronic kidney disease, but worsen kidney functio...
Porous metals (PMs) have attracted significant attention in recent years due to their unique structural and functional properties, holding potential f...
3D neuron growth and neurodevelopmental disorders (NDDs) deterioration exhibit complex morphological transformations as neurites differentiate into ...
Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has potential applications in medicine, but its abilit...
Introduction and aim Large language models (LLMs) are transforming medical education by offering innovative methods to enhance teaching and learning. ...
OBJECTIVE: to assess the needs and attitudes of urologists regarding the use of technologies related to artificial intelligence, particularly the web ...
Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney cancer that presents significant therapeutic challe...
OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of urate-lowering therapy (ULT) on CKD incidence and p...
BACKGROUND: Some clinicopathological risk stratification systems (CRSSs) such as the leibovich score have been used to predict the postoperative progn...
BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening patients with suspected pulmonary hypertension (PH)....
Diagnostic reasoning entails a physician's local (mental) model based on an assumed or known shared perspective (global model) to explain patient ob...
In histopathology, tissue sections are typically stained using common H&E staining or special stains (MAS, PAS, PASM, etc.) to clearly visualize spe...
Frequent and long-term exposure to hyperglycemia (i.e., high blood glucose) increases the risk of chronic complications such as neuropathy, nephropa...
Current methods for pathology image segmentation typically treat 2D slices independently, ignoring valuable cross-slice information. We present Path...
Deep learning models have achieved impressive performance in medical image segmentation, yet their black-box nature limits clinical adoption. In vas...
Accurate segmentation of tubular structures in medical images, such as vessels and airway trees, is crucial for computer-aided diagnosis, radiothera...
The histopathological images contain a huge amount of information, which can make diagnosis an extremely timeconsuming and tedious task. In this stu...