AIMC Topic: Creatinine

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OSCA-finder: Redefining the assay of kidney disease diagnostic through metabolomics and deep learning.

Talanta
Liquid chromatography-mass spectrometry (LC-MS) is a platform for urine and blood sample analysis. However, the high variability in the urine sample reduced the confidence of metabolite identification. Therefore, pre and post-calibration operations a...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

Journal of robotic surgery
To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients with morbid obesity (body mass index (BMI > 40 kg/m)) and non-obese patients. Using the Vattikuti Collective quality initiative (VCQI) database for RAPN...

Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy.

BMC bioinformatics
BACKGROUND: Antibiotic resistance has become a global concern. Vancomycin is known as the last line of antibiotics, but its treatment index is narrow. Therefore, clinical dosing decisions must be made with the utmost care; such decisions are said to ...

Robot-assisted ipsilateral partial nephrectomy with distal ureterectomy for synchronous renal and ureteric tumors-a case report.

Journal of the Egyptian National Cancer Institute
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
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
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
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
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)
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
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...