Nephrology

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...

A commentary on "Robot-assisted kidney transplantation as a minimally invasive approach for kidney transplant recipients: A systematic review and meta-analyses" [Int. J. Surg. 99 (2022) 106264].

Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules.

Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney disea...

Application of Improved Robot-assisted Laparoscopic Telesurgery with 5G Technology in Urology.

The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its a...

Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually requi...

Robotic partial nephrectomy in the pediatric population: Cumulative experience at a large pediatric hospital.

INTRODUCTION: Robotic partial nephrectomy is a complex minimally invasive procedure that addresses t...

Machine Learning for Renal Pathologies: An Updated Survey.

Within the literature concerning modern machine learning techniques applied to the medical field, th...

A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

BACKGROUND: Total kidney volume (TKV) is an important imaging biomarker in autosomal dominant polycy...

Robot-assisted versus conventional laparoscopic partial nephrectomy for renal hilar tumors: Parenchymal preservation and functional recovery.

OBJECTIVE: To determine whether robot-assisted laparoscopic partial nephrectomy (RALPN) can benefit ...

Robot-assisted nephroureterectomy for upper tract urothelial carcinoma-feasibility and complications: a single center experience.

BACKGROUND: Robot-assisted nephroureterectomy (RANU) is the primary treatment for upper tract urothe...

The application of internal traction technique in retroperitoneal robot-assisted partial nephrectomy for renal ventral tumors.

BACKGROUND: For patients with prior intra-abdominal surgery or multiple arteries, the retroperitonea...

Robotic Radical Prostatectomy for Prostate Cancer in Renal Transplant Recipients: Results from a Multicenter Series.

BACKGROUND: Despite an expected increase in prostate cancer (PCa) incidence in the renal transplant ...

Intraoperative indocyanine green fluorescence navigation in a robot-assisted partial nephrectomy for a large renal cell carcinoma in a horseshoe kidney.

A man in his 60s was referred to the urology department with an incidental finding of large 75 mm ma...

Factors influencing warm ischemia time in robot-assisted partial nephrectomy change depending on the surgeon's experience.

INTRODUCTION: Warm ischemia time (WIT) is a primary concern for robot-assisted laparoscopic partial ...

The promise of artificial intelligence for kidney pathophysiology.

PURPOSE OF REVIEW: We seek to determine recent advances in kidney pathophysiology that have been ena...

Oxygen delivery in pediatric cardiac surgery and its association with acute kidney injury using machine learning.

OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CP...

Robot-Assisted Laparoscopic Calyceo-Pyelostomy for Vascular Compression of the Upper Calyx (Fraley Syndrome).

Fraley's Syndrome is a rare anatomic vascular malformation described in 1966 where an aberrant cross...

Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.

Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may ...

Comparison of perioperative outcomes among patients with exophytic, mesophytic, and endophytic renal tumors undergoing robot-assisted partial nephrectomy.

OBJECTIVES: It has been well documented that partial nephrectomy for completely endophytic renal tum...

Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals.

Assessment of daily creatinine production and excretion plays a crucial role in the estimation of re...

Integrated Learning Model-Based Assessment of Enteral Nutrition Support in Neurosurgical Intensive Care Patients.

To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgi...