Latest AI and machine learning research in nephrology for healthcare professionals.
Artificial intelligence (AI) telephone is reliable for the follow-up and management of hypertensives...
Research on solid organ transplantation has taken advantage of the substantial acquisition of medica...
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on h...
Artificial intelligence (AI) platforms such as ChatGPT and Bard are increasingly utilized to answer...
Differential kidney function assessment is an important part of preoperative evaluation of various ...
Artificial intelligence tools such as the large language models (LLMs) Bard and ChatGPT have genera...
Diabetic nephropathy is a serious complication of diabetes, and primary Sjögren's syndrome is a dise...
INTRODUCTION: This study aimed to evaluate the prognosis of patients with COVID-19 and hypertension ...
Orphan diseases, exemplified by T-cell prolymphocytic leukemia, present inherent challenges due to l...
KEY POINTS: A dynamic model predicts IgA nephropathy prognosis based on deep learning. Longitudinal ...
BACKGROUND: Current classification for acute kidney injury (AKI) in critically ill patients with sep...
This study was conducted to determine the safety and efficacy of acute central venous catheters (CVC...
BACKGROUND: Bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH) remains a devastat...
The proteins within the human epidermal growth factor receptor (EGFR) family, members of the tyrosin...
OBJECTIVE: To investigate the prognostic value of F-FDG PET-based intensity, volumetric features, an...
Early diagnosis of drug-induced kidney injury (DIKI) is essential for clinical treatment and interve...
OBJECTIVE: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising...
INTRODUCTION: Hemodialysis (HD) patients have become a serious public health problem, the number of ...
BACKGROUND: Early identification of patients at high-risk of postoperative acute kidney injury (AKI)...
BACKGROUND: Acute kidney disease (AKD) affects more than half of critically ill elderly patients wit...
BACKGRUOUND: This study aimed to develop a diabetic kidney disease (DKD) prediction model using long...