Latest AI and machine learning research in nephrology for healthcare professionals.
Ambient artificial intelligence (AI) clinical documentation tools have gained rapid adoption in heal...
Chronic Kidney Disease (CKD) is a progressive condition requiring evidence-based management, but adh...
Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses tha...
Pregnancy orchestrates a rare physiological transformation across vascular, immune, and metabolic sy...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney tr...
Performance of large language models in medicine is improving, yet it remains unclear how the advant...
To develop and validate machine learning models for predicting Blood Pressure (BP) control status us...
Hypertension is a silent killer, with over half of affected adults unaware of their condition1,2. Th...
Colorectal cancer (CRC) exhibits marked heterogeneity across age, ancestry, and treatment context, u...
For large language models (LLMs) to reach their potential as information technology tools that make ...
Early prediction of in-hospital death remains a significant challenge due to the limited availabilit...
Current circulating biomarkers for idiopathic pulmonary arterial hypertension (IPAH) lack specificit...
OBJECTIVE: The objective of this study is to compare the clinical features and survival outcomes of ...
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor ...
Pulmonary hypertension (PH) is still an aggressive and progressive illness with vascular remodeling ...
BACKGROUND: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-...
BACKGROUND: At present, there are no specialized models for predicting mortality risk in patients wi...
Survival is the gold standard in oncology when determining the real impact of therapies in patients ...
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...
We consider the problem of renal mass risk classification to support doctors in adjuvant treatment d...
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...