Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic control being key contributors. This study aimed to assess the prevalence, awareness, and misinformation surrounding hypertension and diabetes in Bangladesh, identifying high-risk groups. METHODS: Data from the nationally representative 2022 Bangladesh D...
Kidney transplantation is the preferred treatment for end-stage renal disease, yet donor scarcity and inefficiencies in allocation systems create major bottlenecks, resulting in prolonged wait times and alarming mortality rates. Despite the severe shortage of donor kidneys, timely and effective interventions to prevent non-utilization of life-saving organs remain limited. Expedited out-of-sequence...
Patients undergoing maintenance hemodialysis face annual mortality rates of 15-27%, with cardiovascular causes accounting for more than half of all de...
BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...
BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expenditures. We performed a scoping review of AI-enabled ...
Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who would significantly benefit from a preventative vac...
Automated identification of urinary system diseases on non-contrast computed tomography (NCCT) can facilitate early diagnosis and inform treatment dec...
BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperative complications in patients undergoing metabolic...
BACKGROUND: Stroke is a common cardiovascular complication. The machine learning (ML) algorithms in stroke is a new and noble approach. The objective ...
BACKGROUND: While HbA1c is the standard for monitoring long-term glycaemic control, it fails to capture glycaemic variability. We investigated the dis...
BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. For systemic corticosteroids in particular, randomis...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker discovery, uncertainty remains an intrinsic feature...
RATIONALE & OBJECTIVE: Despite advantages in survival and quality of life with kidney transplantation (KT) compared to other treatments for kidney fai...
RATIONALE AND OBJECTIVES: To develop and validate an interpretable, multimodal, ultrasound-based machine-learning (ML) model for the non-invasive iden...
Chronic Renal Disease (CRD) is an increasing global health burden, largely driven by the rising prevalence of diabetes and hypertension. Early and acc...
Accurate preoperative discrimination of renal cell carcinoma (RCC) subtypes is critical for treatment stratification. We aimed to develop and validate...
Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...
BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Width Ratio (HRR) and perioperative mortality in mya...
Adeno-associated viruses (AAVs) are leading gene therapy vectors; however, maintaining their structural integrity and cargo stability remains a major ...
Understanding the formation and transport properties of the solid electrolyte interphase (SEI) at the Li metal | solid state electrolyte (SSE) interfa...