Latest AI and machine learning research in nephrology for healthcare professionals.
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnancies. Children with ANH are surveilled with repeated renal ultrasound and when there is high suspicion for a ureteropelvic junction obstruction on renal ultrasound, a mercaptuacetyltriglycerine (MAG3) Lasix renal scan is performed to evaluate for obs...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-assisted procedures. Robotic surgery aims to achieve the same outcomes as open surgery while minimizing morbidity by causing less blood loss, faster postoperative recovery, and reducing complications. This article shares our technique, challenges encountered, and experience of robot-assisted complex ur...
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evaluated by pathologists. In this paper, a computer-aid...
BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high v...
Duplex kidney and ureter is a congenital malformation. Few patients present with hydronephrosis caused by obstruction of the ureteropelvic junction of...
PURPOSE OF REVIEW: There are very few data on patients undergoing robot-assisted partial nephrectomy (RAPN) for bilateral renal masses. The aim of thi...
Delayed surgical reconstruction of iatrogenic ureteral injuries is often a challenging procedure because spreading scar tissue impedes accurate identi...
BACKGROUND: Acute kidney injury (AKI) is independently associated with morbidity and mortality in a wide range of surgical settings. Nowadays, with th...
Large skin defects caused by accidents or disease can cause fluid loss, water and electrolyte disorders, hypoproteinemia and serious infection and rem...
Due to the increasing prevalence of chronic kidney disease and its high mortality rate, study of risk factors affecting the progression of the disease...
As robotic-assisted (RAL) surgery expanded to treat pediatric congenital disease, infant anatomy and physiology posed unique challenges that prompted ...
Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT) data in the longitudinal direction, which degrad...
Analysis of medical images, such as radiological or tissue specimens, is an indispensable part of medical diagnostics. Conventionally done manually, t...
Artificial intelligence is playing an increasingly important role in many fields of clinical care to assist health care providers in patient managemen...
BACKGROUND: This study aimed to explore the appropriate location of renal tumors for retroperitoneal approach.
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis through ultrasound images using state-of-the-art dee...
The last two decades have witnessed an extraordinary evolution of automation and artificial intelligence (AI), which has become an integral part of ou...
Existing soft robots face challenges given the need for an improved flexible robot elongation rate, bending angle and movement flexibility in space ta...
Antibodies are an established class of human therapeutics. Epitope characterization is an important part of therapeutic antibody discovery. However, s...
Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbi...