Clinical Trials About "Optical neural network demo" RSS

04:03 EDT 26th March 2019 | BioPortfolio

We list hundreds of Clinical Trials about "Optical neural network demo" on BioPortfolio. We draw our references from global clinical trials data listed on and refresh our database daily.

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We have published hundreds of Optical neural network demo news stories on BioPortfolio along with dozens of Optical neural network demo Clinical Trials and PubMed Articles about Optical neural network demo for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of Optical neural network demo Companies in our database. You can also find out about relevant Optical neural network demo Drugs and Medications on this site too.

Showing "Optical neural network demo" Clinical Trials 1–25 of 2,400+


CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study

The purpose of the study is to determine the validity of the prediction model in reducing the rate of CPAP titration failure and in achieving a shorter time to optimal pressure

The Relationship Between Macular OCTA and GCIPL and Their Combinational Index Using AI

Macular GCIPLT and vessel density will be measured with Spectralis optical coherence tomography and Topcon swept-source OCT respectively. Linear, quadratic and exponential regression models will be used to investigate relationship between GCIPLT and vessel density. Multilayer neural network will bel used to make single combined parameter and the diagnostic performance was compared.

Neural Correlates of Repeated tDCS

Healthy ageing and pathological ageing in the context of a neurodegenerative disease are both associated with changes in brain network integrity. Episodic memory is especially affected in Alzheimer's disease, but is also decreased in healthy ageing. Consequently, the memory-relevant brain networks are especially altered. Transcranial direct current stimulation (tDCS) has previously been implemented in different clinical- and non-clinical settings and has shown to beneficially i...

Development of a Novel Convolution Neural Network for Arrhythmia Classification

Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health. Recent developments in artificial intelligence and machine learning are providing new opportunities to rapidly and accurately diagnose cardiac arrhythmias and for how new mobile health and cardiac telemetry devices are used in patient care. The current investigation aims to validate a new artificial intelligen...

Perifoveal Vascular Network Assessed by OCT-Angiography in Type I Diabetes Mellitus

This study is directed to evaluate the role of Optical Coherence Tomography Angiography (OCT-A) in the evaluation of the perifoveal vascular network in type 1 diabetic patients, and to investigate the relationship between OCT-A-derived parameters and demographic and clinical factors, as metabolic control and duration of the disease.

Monitoring Neural Tissues Properties by Modulated Imaging (MI)

We have developed a safe, non-contact, intra-operative guidance system to optimize tumor resection in neurosurgery. The Modulated Imaging (MI) is non-contact optical imaging technology developed at the Beckman Laser Institute, UCI. Compared to other imaging approaches, MI has the unique capability of performing both diffuse optical tomography and rapid, wide-field quantitative mapping of tissue optical properties within a single measurement platform. Preliminary in vivo...

Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition

Rationale: Diminutive colorectal polyps (1-5mm in size) have a high prevalence and very low risk of harbouring cancer. Current practice is to send all these polyps for histopathological assessment by the pathologist. If an endoscopist would be able to correctly predict the histology of these diminutive polyps during colonoscopy, histopathological examination could be omitted and practise could become more time- and cost-effective. Studies have shown that prediction of histology...

Diagnostic Efficacy of CNN in Differentiation of Visual Field

Glaucoma is currently the leading cause of irreversible blindness in the world. The multi-center study is designed to evaluate the efficacy of the convolutional neural network based algorithm in differentiation of glaucomatous from non-glaucomatous visual field, and to assess its utility in real world.

Identifying Neural Mechanisms of PTSD Symptom Reduction Induced by Estrogen

This study aims to first identify the optimal estradiol (E2) dose that best engages the fear extinction network among healthy women using oral contraceptives. The second objective is to then evaluate the impact of this optimal E2 dose, when administered in conjunction with 5 sessions of Prolonged Exposure therapy, on the functional activity of the fear extinction network of women with clinically significant posttraumatic stress disorder symptoms. This approach will elucidate th...

fMRI Study of Brain Neural Network and Plasticity After Stroke

The purposes of this study are to investigate the functional connectivity of motor network in patients of stroke and investigate the mechanism of brain plasticity for recovery after stroke.

The Relationship Between White Matter Hyperintensity With Cognition and Emotion

White matter hyperintensity (WMH) has been found to be related with cognitive and emotional dysfunction. A presumed mechanism is that WMH disrupts the structural connectivity within a large-scale brain network, thereby impairing the brain's ability to integrate the neural processes efficiently. It is not yet clear, what the pattern of brain network disruption relates to WMH and how the brain network disruption induced by WMH has an effect on cognition and emotion performance. U...

Study on the Brain Network of Angelman Syndrome

The aims of study on Angelman syndrome: (1)establish the Angelman syndrome database (2)to study the brain Network of Angelman Syndrome Based on Multi-modal Brain Image and Neural-EEG Data

An Exploratory Study on Optical Assessment of Oral Mucositis

Objectives: 1. To assess the tolerability of performing optical coherence tomography and/or optical spectroscopy in patients with acute oral mucositis. 2. To determine the feasibility of obtaining optical coherence tomography images and/or fluorescence excitation emission matrices from normal and affected sites in patients with acute oral mucositis. 3. To compare optical data obtained with optical coherence tomography and/or spectroscopy ...

The Brain Structure and Neural Network Changing the Before and After Ventriculo-peritoneal Shunting in the Normal Pressure Hydrocephalus Patients

With the advent of the aging society, dementia becomes the focus of common people. As for the neurodegeneration dementia, no disease modifying treatments have been discovered. Idiopathic normal pressure hydrocephalus (iNPH) is considered as one of reversible dementia, which can be hint by the surgery. In addition, dementia of iNPH is the typical subcortical dementia. Therefore exploring the pathogenic mechanism is conducive to the early diagnosis and treatment. This research is...

A Pilot Study to Evaluate Optical Spectroscopy and SIAscopy of Pigmented Skin Lesions

The purpose of this study is to evaluate the physiological correlates of two imaging devices (1)Modified Two Layer Diffuse Optical Spectroscopy (MTL DOS ) and (2)SIAscopy in the evaluation of atypical moles and melanoma. A typical moles and melanoma will have a different optical profile based on physiological parameters compared to benign nevus. The first measured is to determine the hardware variability. From this optical data, a "correction" curve will be developed a...

Electrophysiological Recordings of Deep Brain Stimulation in the Basal Ganglia

The pathology of Parkinson's disease (PD) and the mechanism of Deep Brain Stimulation surgery (DBS) are not completely understood. The recording data that is used routinely as part of the procedure to map the target structures, however, may be analyzed in order to better understand the neural network dynamics in PD. The purpose of the study is to perform simultaneous neural recordings from sub-cortical structures (e.g. subthalamic nucleus [STN] or globus pallidus internus [GPi]...

Cause and Consequence of Neural Fatigue

While the scientific community understands quite well why muscles ache after prolonged exercise, the origins of mental fatigue remain totally mysterious. Existing theories remain at a psychological level, with scarce supporting evidence. Mental fatigue typically occurs after long episodes during which humans exert control on motor or cognitive processes, instead of executing routine or stimulus-driven behaviours. However, work organization (especially in risky job like airplane...

Neural Enabled Prosthesis for Upper Limb Amputees

This study is designed to evaluate the feasibility of The Adaptive Neural Systems Neural-Enabled Prosthetic Hand (ANS-NEPH) system.

The Diagnostic Performance of BMO-MRW and RNFL Thickness and Their Combinational Index Using Artificial Neural Network

This study evaluates the relationship between BMO-MRW and RNFL thickness measured by OCT. SD-OCT exam will be performed to all patients in this study.

Identifying the Neural Basis of Suicide Risk: Capability for Suicide and the Opioid System

Since capability for suicide involves overriding potential pain, and the opioid system plays a strong role in controlling pain perception, it follows that capability for suicide may be impacted by the opioid system. The goal of the proposed research is to identify the neural opioid network underlying capability for suicide in order to determine if it can be a target for identifying high-risk individuals and for intervention.

Vitreo-papillary Traction as an Entity Identified by Optical Coherence Tomography (OCT).

Optical Coherence Tomography (OCT) is a relatively new imaging technique in ophthalmology. This clear and documented imaging identified new diseases/ observations that were not previously known.

Retinal Neuro-vascular Coupling in Patients With Multiple Sclerosis

Multiple sclerosis (MS) affects approximately 2.3 million patients worldwide, with a global median prevalence of 33 per 100,000. MS is diagnosed at an average of 30 years and affects twice as many women as men. MS is traditionally diagnosed by the presentation of lesions of the central nervous system, disseminated in time and in space, proven by clinical examination and magnetic resonance imaging. Several anatomical parameters in the eye, both vascular and neural, have been fou...

Neural Correlates of Self Body-shape Recognition in Anorexia Nervosa Mental

Body Image distortion is a key diagnostic feature for Anorexia Nervosa. Patients suffering from Anorexia Nervosa tend to perceive themselves as fatter than they are. This bias might be at the origin of a reinforcement of anorectic behavior which might alter medical care. The objective of this study is to identify neural correlates of self-recognition in Anorexia Nervosa. Patients are hypothesized to activate the self-recognition network when seeing images of a fatter body shape...

Neural Correlates In Mild Alzheimer's Disease

The objective of this study is to identify neural correlates of cognitive improvement after three months of donepezil HCl in subjects with mild Alzheimer's Disease (AD), measuring the Functional Hippocampus Connectivity Index (HCI) and Cerebral Blood Flow (CBF) Perfusion in the Medial Temporal Lobe network. The hypothesis is that donepezil HCl will improve MTL connectivity and CBF Perfusion in the MTL-projected target regions, which will significantly correlate with cognitive ...

Network Support for Treatment of Alcohol Dependence

Relapse is the most serious problem in alcoholism treatment. The overall aim of the present study was to determine if a treatment directed at changing the patient's social network, from one that reinforces drinking behavior to one that reinforces sobriety, can create the conditions necessary for long-term treatment success. In addition, we intended to determine if explicit reinforcement for this change of social network (Contingency Management or ContM) would be more effective ...

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