Latest AI and machine learning research in nephrology for healthcare professionals.
Wearable and cuffless blood pressure (BP) monitoring hold great promise for preventive hypertension management, yet few studies have been validated under real-world and long-term conditions. In this study, we propose RACGBPNet, an efficient yet effective feature fusion framework for cuffless BP estimation and hypertension detection. The model leverages a two-stage fusion strategy: first, handcraft...
Anterior quadratus lumborum (QL) block is a regional anesthesia technique shown to provide both somatic and visceral pain relief by targeting lower thoracic nerves and the thoracic sympathetic trunk. Despite its clinical benefits, success depends on accurate sonoanatomic identification, which can be challenging due to individual anatomical variations. In this study, we developed an artificial inte...
Ambient artificial intelligence (AI) clinical documentation tools have gained rapid adoption in healthcare to address physician burnout from documenta...
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...
Pregnancy orchestrates a rare physiological transformation across vascular, immune, and metabolic systems. When this dynamic balance is disrupted – as...
The administration of gadolinium-based contrast agents (GBCAs) for acquiring contrast-enhanced T1-weighted magnetic resonance imaging (T1C MRI) is ass...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance ther...
Performance of large language models in medicine is improving, yet it remains unclear how the advantage of reasoning models depends on task characteri...
To develop and validate machine learning models for predicting Blood Pressure (BP) control status using demographic characteristics and longitudinal B...
Hypertension is a silent killer, with over half of affected adults unaware of their condition1,2. This lack of awareness is a major concern, as early ...
Colorectal cancer (CRC) exhibits marked heterogeneity across age, ancestry, and treatment context, underscored by the rising incidence of early-onset ...
For large language models (LLMs) to reach their potential as information technology tools that make medication use safer, clinically relevant benchmar...
Early prediction of in-hospital death remains a significant challenge due to the limited availability of structured data during initial admission. Uns...
Current circulating biomarkers for idiopathic pulmonary arterial hypertension (IPAH) lack specificity for preclinical detection and fail to capture th...
OBJECTIVE: The objective of this study is to compare the clinical features and survival outcomes of class IV ± V lupus nephritis (LN) patients, identi...
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor liver transplantation a successful treatment optio...
Pulmonary hypertension (PH) is still an aggressive and progressive illness with vascular remodeling and right heart failure despite the therapeutic ad...
BACKGROUND: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-Metabolic Syndrome (CKM), emphasizing the interpla...
BACKGROUND: At present, there are no specialized models for predicting mortality risk in patients with alcoholic cirrhosis complicated by severe acute...