AIMC Topic: Kidney

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A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.

Surgery
BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30% of surgical patients. Acute kidney injury is associated with increased resource usage and chronic kidney disease development, with more severe acute ...

Single-port vs multi-port robot-assisted renal surgery: analysis of perioperative outcomes for excision of high and low complexity renal masses.

Journal of robotic surgery
There is emerging but limited data assessing single-port (SP) robot-assisted surgery as an alternative to multi-port (MP) platforms. We compared perioperative outcomes between SP and MP robot-assisted approaches for excision of high and low complexit...

Trends and perspectives for improving quality of chronic kidney disease care: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Kidney international
Chronic kidney disease (CKD) affects over 850 million people globally, and the need to prevent its development and progression is urgent. During the past decade, new perspectives have arisen related to the quality and precision of care for CKD, owing...

Effects of remote ischemic preconditioning on renal protection in patients undergoing robot-assisted laparoscopic partial nephrectomy.

Journal of robotic surgery
We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patients undergoing robot-assisted laparoscopic partial nephrectomy (RAPN). Data from 59 patients with solitary renal tumors who underwent RAPN with RIPC com...

Ocular images-based artificial intelligence on systemic diseases.

Biomedical engineering online
PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases.

Differentiation between normal and abnormal kidneys using Tc-DMSA SPECT with deep learning in paediatric patients.

Clinical radiology
AIM: To investigate the feasibility of using deep learning (DL) to differentiate normal from abnormal (or scarred) kidneys using technetium-99m dimercaptosuccinic acid (Tc-DMSA) single-photon-emission computed tomography (SPECT) in paediatric patient...

A hybrid approach to full-scale reconstruction of renal arterial network.

Scientific reports
The renal vasculature, acting as a resource distribution network, plays an important role in both the physiology and pathophysiology of the kidney. However, no imaging techniques allow an assessment of the structure and function of the renal vasculat...