Recently, the amount of attention paid towards convolutional neural networks (CNN) in medical image analysis has rapidly increased since they can analyze and classify images faster and more accurately than human abilities. As a result, CNNs are becom...
Estimating applied force using force myography (FMG) technique can be effective in human-robot interactions (HRI) using data-driven models. A model predicts well when adequate training and evaluation are observed in same session, which is sometimes t...
BACKGROUND: Image registration is an essential step in the automated interpretation of the brain computed tomography (CT) images of patients with acute cerebrovascular disease (ACVD). However, performing brain CT registration accurately and rapidly r...
The International journal of neuroscience
Dec 28, 2021
Accurate and rapid segmentation of the hippocampus can help doctors perform intractable temporal lobe epilepsy (TLE) preoperative evaluations to identify good surgical candidates. This study aims to establish a radiomics system for the automatic diag...
Journal of laparoendoscopic & advanced surgical techniques. Part A
Dec 28, 2021
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several steps of robot-assisted radical prostatectomy (RARP) and lymph node (LN) involvement. A total numbe...
OBJECTIVE: To evaluate the surgical effects of robotic paravaginal repair and sacrocolpopexy in patients diagnosed with lateral cystocele due to paravaginal defect.
PURPOSE: The aim of this scoping review is to examine artificial intelligence (AI) and virtual teaching models within the context of dental education, establish methods to address the resources being investigated, and ultimately augment this approach...
BACKGROUND: Fluoroquinolones are associated with central (CNS) and peripheral (PNS) nervous system symptoms, and predicting the risk of these outcomes may have important clinical implications. Both LASSO and random forest are appealing modeling metho...
International journal of medical informatics
Dec 28, 2021
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervical images for cervical screening, and investigate the synergetic benefits of the colposcopy, the cytology test, and the HPV test for improving cervical...
Each year, 1.35 million people are killed on the world's roads and another 20-50 million are seriously injured. Morbidity or serious injury from road traffic collisions is estimated to increase to 265 million people between 2015 and 2030. Current roa...
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