AIMC Topic: Creatinine
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Robot-assisted ipsilateral partial nephrectomy with distal ureterectomy for synchronous renal and ureteric tumors-a case report.
Journal of the Egyptian National Cancer Institute
Nov 28, 2022
BACKGROUND: Ipsilateral synchronous renal and ureteric tumor is uncommon. Nephron sparing surgery is the standard for small renal masses. Ureteric tumors can be selectively managed with nephron sparing surgery, especially in renal dysfunction. This c...
Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.
Frontiers in public health
Oct 4, 2022
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the ...
A Deep Learning Approach for the Estimation of Glomerular Filtration Rate.
IEEE transactions on nanobioscience
Sep 26, 2022
An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine learning methodologies such as deep neural networks provide a potentia...
Deep learning analysis of clinical course of primary nephrotic syndrome: Japan Nephrotic Syndrome Cohort Study (JNSCS).
Clinical and experimental nephrology
Aug 12, 2022
BACKGROUND: Prognosis of nephrotic syndrome has been evaluated based on pathological diagnosis, whereas its clinical course is monitored using objective items and the treatment strategy is largely the same. We examined whether the entire natural hist...
One-step Endovascular Aortic Aneurysm Repair With CO2 contrast and Robotic Partial Nephrectomy for Renal Cell Carcinoma: Case Report.
Vascular and endovascular surgery
Aug 11, 2022
INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdominal malignancies, as renal cell carcinoma, is expected to become more prevalent. There are only two case reports of minimally invasive surgeries to tr...
Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.
Pediatric nephrology (Berlin, Germany)
Jul 22, 2022
BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting the risk and timing of chronic kidney disease (CKD) progression for boys with posterior urethral va...
The application of internal traction technique in retroperitoneal robot-assisted partial nephrectomy for renal ventral tumors.
World journal of surgical oncology
Jun 23, 2022
BACKGROUND: For patients with prior intra-abdominal surgery or multiple arteries, the retroperitoneal robot-assisted partial nephrectomy (rRAPN) is a better choice. The renal ventral tumor poses an additional challenge due to poor tumor exposure. Thi...
Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals.
Scientific reports
May 30, 2022
Assessment of daily creatinine production and excretion plays a crucial role in the estimation of renal function. Creatinine excretion is estimated by creatinine excretion equations and implicitly in eGFR equations like MDRD and CKD-EPI. These equati...
Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.
Computational intelligence and neuroscience
May 18, 2022
Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical staff and medical equipment. The combination of current technology and the medical field has become t...
Robotic versus hand-assisted laparoscopic living donor nephrectomy: comparison of two minimally invasive techniques in kidney transplantation.
Journal of robotic surgery
Mar 7, 2022
Robot-assisted donor nephrectomy (RDN) is increasingly used due to its advantages such as its precision and reduced learning curve when compared to laparoscopic techniques. Concerns remain among surgeons regarding possible longer warm ischemia time. ...
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