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We list hundreds of Clinical Trials about "Deep learning conditional random fields based depth estimation" on BioPortfolio. We draw our references from global clinical trials data listed on ClinicalTrials.gov and refresh our database daily.
We have published hundreds of Deep learning conditional random fields based depth estimation news stories on BioPortfolio along with dozens of Deep learning conditional random fields based depth estimation Clinical Trials and PubMed Articles about Deep learning conditional random fields based depth estimation for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of Deep learning conditional random fields based depth estimation Companies in our database. You can also find out about relevant Deep learning conditional random fields based depth estimation Drugs and Medications on this site too.
CT-guided epidural steroid injection (ESI) thrives among interventional radiologists. Although X-ray fluoroscopy still remains as the gold standard to guide ESI, CT guidance has the merits of accurate location of needle tip and relatively low radiation doses with intermittent mode. However, it is time-consuming for doctors to select the optimal plane for needle placement and manually segment spinal structures. The main of the study is to automatically identify the optimal plane...
Recently, artificial intelligence (AI) assisted image recognition has made remarkable breakthroughs in various medical fields with the developing of deep learning and conventional neural networks (CNNs). However, all current AI assisted-diagnosis systems (ADSs) were established and validated on endoscopic images or selected videos, while its actual assisted-diagnosis performance in real-world colonoscopy is up to now unknown. Therefore, we validated the performance of an ADS in...
Optimal chest compression depth during CPR is 4.56cm which is at variance with the current guidelines of 5.0-6.0cm. A change in guidelines is only worthwhile if healthcare professionals can accurately judge a subtle reduction in chest compression depth during CPR by a relatively small amount.
This retrospective, cross-sectional cohort study was conducted to investigate the novice practitioners' learning curve of visual estimation of LV ejection fraction (%) through a echocardiographic video files at the academic emergency department (ED) in tertiary urban hospital.
The investigators,according to the eligibility criteria,plane to choose 80 elderly anticipates who will undergo selective hip replacement surgery.This participants will be randomly divided into 2 groups:light anesthesia depth group(L Group) and deep anesthesia depth group (D Group).Before anesthesia induction,each participant will be given lumbar plexus and sciatic nerve block in order to control pain of interoperative and postoperative.During operation period,the L Group will ...
The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved by adding another parameter. For this study 500 patients are required to collect anonymized data (length, weight, age, mid upperarm circumference and patient habitus by visual estimation) for achieving a power of 80% during statistical analysis. The main hypothesis ist that CLAWAR's accuracy c...
In this study the investigators will adapt and strengthen, test effectiveness, and explore implementation of conditional lottery incentive linkage strategies to engage men in HIV care and ART in KwaZulu-Natal, South Africa.
To observe the safety and effectiveness of ImageReady™ MR conditional defibrillation system in a Chinese population.
This observational and experimental study seeks to establish a Smart Device System (SDS) to monitor high-resolution handtremor-based data using Smartphones, SmartWatches and Tablets. By doing this, movement data will be analyzed in depth with advanced statistical and Deep-Learning algorithms to identify new clinical phenotypical characteristics Parkinson's Disease and Essential Tremor.
Evaluation of practicability in survey and test procedures and of successful implementation of complex interventions - feasibility analysis based on a pilot study: Influence of conditional workout postpartum on arterial stiffness among women with status after preeclampsia, superimposed preeclampsia or HELLP-syndrome
Estimation of Glomerular Filtration Rate (GFR) is the primary test used to assess patients with renal disease. Although serum creatinine based GFR and nuclear medicine based estimations are routinely used in clinical practice, GFR estimation by Inulin is the recommended gold standard. Inulin based estimation of GFR is cumbersome and time consuming. A decrease in blood flow to the kidney (Renal Blood Flow (RBF)) is known to cause a decrease in GFR. RBF is typically determined ...
The study aim is to determine whether simulation based learning would improve senior anesthesiology residents' patient care performance during the insertion and management of cerebrospinal fluid drainage catheters when compared to interactive problem based learning (PBL) using the Anesthetist's Nontechnical Skills Global rating scale
Vaccination is a cost-effective strategy for conferring immunity against a host of preventable diseases, however, rates of timely childhood vaccinations remain inadequate in resource-limited settings. We propose to evaluate the feasibility and efficacy of mHealth-assisted conditional cash transfers as a means of overcoming individual barriers to timely vaccinations. The study will form the basis for a pragmatic randomized controlled trial of the efficacy and cost-effectiveness ...
In this randomized clinical study, neonates who require umbilical venous catheter (UVC) insertion as part of their routine care at anytime during their NICU admission will be randomized to one of the 2 formulas for estimation of the pre-insertion UVC depth (umbilicus to the nipple in cm minus 1 (UN - 1) or birth weight based formula ([(3× birth weight (Kg) + 9)/2+1)]. UVC will be inserted under sterile condition as per unit protocol. To verify the UVC tip position, a thoracoab...
As the most common cancer expected to occur all over the world, breast cancer still faces with the unsatisfied diagnostic accuracy in US imaging. S-detect is a sophisticated CAD system for breast US imaging based on deep learning algorithms. E-breast is a software installed in US machines which automatically reveals tumor elastographic features. This multi-center study intends to further validate the diagnostic efficiency of S-detect and E-breast in opportunistic breast cancer ...
MRI is a common tool for radiographic diagnosis of spinal stenosis, but it is expensive and requires long scanning time. CT is also a useful tool to diagnose spinal stenosis, yet interpretation can be time-consuming with high inter-reader variability even among the most specialized radiologists. In this study, the investigators aim to develop a deep-learning algorithm to automatically detect and classify lumbar spinal stenosis.
An association study with large database from electronic medical record system, images, outcome analysis and genetic single nucleotide polymorphism variations by machine learning and artificial intelligence methods in a Taiwanese and Chinese medical center based population
In order to be able to study the effects of evoked fields with magnetoencephalography (MEG) in two groups of patients, comparison is made with a group of healthy volunteers.
This study will implement an intervention in a two-year randomized controlled trial (RCT) to establish efficacy on viral suppression as a biological endpoint, compare the effectiveness of two different modes of implementation (including one entirely based on readily available clinic data), and investigate cost-effectiveness. Participants in the first intervention group (T1, n=110) will be eligible for small lottery prizes based on timely clinic visits, and qualify for an annual...
To assess the impact of an e-learning course in neuromuscular monitoring on the frequency of application of objective neuromuscular monitoring for assessment of depth of neuromuscular blockade in general anaesthesia and secondarily on the incidence of residual neuromuscular blockade after anesthesia. We will collect data prospectively from 6 Danish anaesthesia departments from the time of intervention, using data from the Anaesthesia Information Management System (AIMS). Basel...
This study aims to compare heart rate variation, cognitive load, and learning outcomes of novel image-based virtual reality with traditional video in learning for otolaryngology. Half of participants will receive image-based virtual reality learning, while the other half will receive video-based learning.
Providers in integrated Community Case Management (iCCM) programs in low resource settings often see children without any danger signs, presenting with fever but not having pneumonia, malaria, or diarrhea. These children are sent home (often with analgesic only), and caretakers are advised to return in 2 or 3 days. In this study, we are evaluating if conditional return advice (i.e. return in 2 or 3 day only if your child is still sick") results in the same proportion of childre...
The purpose of this study is to determine whether depth of anesthesia has an effect on emergence agitation (EA) in children age 2 - 8 years old. EA is a common problem in pediatric patients who receive general anesthesia with inhaled anesthetics, and the effect of depth of anesthesia on EA has not been studied. The study will randomize 40 children undergoing ophthalmologic surgery under general anesthesia to either light anesthesia (BIS 55-60) or deep anesthesia (BIS 40-45). EA...
Comparison of conventional assessment of anesthetic depth by anesthesiologists (moderate, deep or light anesthesia) with EEG monitoring (Narcotrend® state/index). In case of mismatch statistical analysis for underlying factors are done.
This study investigates the potential of customized robotic and visual feedback interaction to improve recovery of movements in stroke survivors. While therapists widely recognize that customization is critical to recovery, little is understood about how take advantage of statistical analysis tools to aid in the process of designing individualized training. Our approach first creates a model of a person's own unique movement deficits, and then creates a practice environment to ...