BACKGROUND: Machine learning (ML) models for early identification of patients at risk of hospital-acquired urinary tract infection (HA-UTI) may enable timely and targeted preventive and therapeutic strategies. However, clinicians are often challenged...
BACKGROUND: Leptin plays a key role in the regulation of energy and inflammation in tuberculosis (TB). However, its correlation in children with TB remains unclear. Therefore, this study aimed to evaluate the correlations between body mass index, IFN...
Deep neural networks (DNNs) are machine learning algorithms that have revolutionized computer vision due to their remarkable successes in tasks like object classification and segmentation. The success of DNNs as computer vision algorithms has led to ...
The surgical video demonstrates the technical nuances of performing pyeloplasties on complex renal anomalies, including duplex, horseshoe, malrotated, and ectopic kidneys. The video also highlights the anatomic relationships of the affected kidney fo...
INTRODUCTION: We implemented the NICE procedure as a robotic natural orifice colorectal resection utilizing the rectum to extract the specimen and complete an intracorporal anastomosis for diverticulitis in 2018. Although complicated diverticulitis i...
BACKGROUND: Endosonographers are highly dependent on the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The objectives of this study were to develop a deep-learning radiomics (DLR) model based on endoscopic ultrasonography (EUS) images for ide...
CPT: pharmacometrics & systems pharmacology
Mar 31, 2023
Oncology treatments require continuous individual adjustment based on the measurement of multiple clinical parameters. Prediction tools exploiting the patterns present in the clinical data could be used to assist decision making and ease the burden a...
Neural networks : the official journal of the International Neural Network Society
Mar 31, 2023
Deep neural network-based object detectors are vulnerable to adversarial examples. Among existing works to fool object detectors, the camouflage-based method is more often adopted due to its adaptation to multi-view scenarios and non-planar objects. ...
OBJECTIVE: To evaluate the efficacy and safety of robot-assisted laparoscopic pyeloplasty (RALP) and describe the short and long-term outcomes of pediatric RALP.
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