Latest AI and machine learning research in nephrology for healthcare professionals.
The International Classification of Diseases (ICD) serves as a global healthcare administration standard, with one of its editions being ICD-10-CM, an enhanced diagnostic classification system featuring numerous new codes for specific anatomic sites, co-morbidities, and causes. These additions facilitate conveying the complexities of various diseases. Currently, ICD-10 coding is widely adopted wor...
Autosomal recessive polycystic kidney disease (ARPKD) is often associated with hepatobiliary disease in the form of hepatic fibrosis and/or Caroli disease. Combined liver-kidney transplantation (CLKT) is a transplant modality of choice in children with both end-stage renal disease (ESRD) and severe hepatic disease. However, there is no consensus on whether children with ARPKD-associated ESRD witho...
OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted from patients with lupus nephritis (LN), this atte...
The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesity, and non-alcoholic fatty liver disease (NAFLD) ...
We introduce a convenient method of urethrography before catheterization for patients with pelvic trauma that can be used in a resuscitation area. A 1...
PURPOSE OF THE STUDY: The purpose of this study was to assess the association of measured glomerular filtration rate (mGFR) using camera-based method ...
Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, renal failure, cardiac hypertrophy, myocardial infarct...
RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes (T2DM). Many develop progressive chronic kidney di...
Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients receiving higher gabapentinoid doses with decrease...
Artificial intelligence (AI) generative models driven by the integration of AI and natural language processing technologies, such as OpenAI's chatbot ...
Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can be managed with supportive care and close monitorin...
The ability to quantify aging-related changes in histological samples is important, as it allows for evaluation of interventions intended to effect he...
BACKGROUND AND OBJECTIVE: Renal cell carcinoma represents a significant global health challenge with a low survival rate. The aim of this research was...
RATIONALE & OBJECTIVE: This study aimed to assess the effect of exposure to organic pollutants in adults with chronic kidney disease (CKD).
BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is a rare disease, or damage to the filtering units of the kidney, the glomeruli, about of which...
PURPOSE: This study aimed to investigate if a deep learning model trained with a single institution's data has comparable accuracy to that trained wit...
To evaluate the efficacy of supine percutaneous renal access by robot-assisted (RA) fluoroscopy and ultrasound (US) guidance in terms of procedural o...
Recent advancements in tissue imaging techniques have facilitated the visualization and identification of various cell types within physiological and ...
In a first-of-its-kind study, we assessed the capabilities of large language models (LLMs) in making complex decisions in haematopoietic stem cell tra...
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-spe...