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Continuous Automated Analysis Workflow for MRS Studies
Magnetic resonance spectroscopy (MRS) can non-invasively measure levels of endogenous metabolites in living tissue and is of great interest to...
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Artificial intelligence-enhanced automation for M-mode echocardiographic analysis: ensuring fully automated, reliable, and reproducible measurements
To enhance M-mode echocardiography’s utility for measuring cardiac structures, we developed and evaluated an artificial intelligence (AI)-based...
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Identifying diversity of patient anatomy through automated image analysis of clinical ultrasounds
PurposeCentral venous catheterization (CVC) carries inherent risks which can be mitigated through the use of appropriate ultrasound-guidance during...
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Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis
ObjectivesThe aim of the present systematic review and meta-analysis is to assess the accuracy of automated landmarking using deep learning in...
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Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration
In recent years, the quantity and complexity of medical imaging acquisition and processing have increased tremendously. The explosion in volume and...
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Cross-platform comparison of precision and time effectiveness of automated versus semi-automated brain volumetric measurements in healthy Egyptian adults
BackgroundThe primary goal of this study is to evaluate the precision, time effectiveness and reproducibility of open source automated magnetic...
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Repeatability and reliability of semi-automated anterior segment-optical coherence tomography imaging compared to manual analysis in normal and keratoconus eyes
PurposeTo assess the repeatability and reliability of semi-automated EyeMark Python program measurements compared to manual ImageJ image processing...
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Reproducibility of automated calculation technique for diffusion tensor image analysis along the perivascular space
PurposeThe method of diffusion tensor image analysis along the perivascular space (DTI-ALPS) was gathering attention to evaluate the brain’s...
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Deconstructing heterogeneity in schizophrenia through language: a semi-automated linguistic analysis and data-driven clustering approach
Previous works highlighted the relevance of automated language analysis for predicting diagnosis in schizophrenia, but a deeper language-based...
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Radiomic-based Textural Analysis of Intraluminal Thrombus in Aortic Abdominal Aneurysms: A Demonstration of Automated Workflow
Our main objective is to investigate how the structural information of intraluminal thrombus (ILT) can be used to predict abdominal aortic aneurysms...
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Cost analysis of COVID-19 test result notification using an automated messaging system compared to a staff caller practice in Alberta
SettingIn Alberta, polymerase chain reaction (PCR) COVID-19 tests were an important step in detecting and isolating contagious individuals throughout...
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Automated signal intensity analysis of the spinal cord for detection of degenerative cervical myelopathy — a matched-pair MRI study
PurposeDetection of T2 hyperintensities in suspected degenerative cervical myelopathy (DCM) is done subjectively in clinical practice. To gain...
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In slope-changing osteotomy one millimeter is not one degree: results of an artificial intelligence-automated software analysis
BackgroundAnterior closing wedge osteotomies (ACWO) are performed in revision anterior cruciate ligament (ACL) surgery to correct an excessive...
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Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma
PurposeTo develop and validate an automated magnetic resonance imaging (MRI)-based model to preoperatively differentiate pancreatic adenosquamous...
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Automated hepatic steatosis assessment on dual-energy CT-derived virtual non-contrast images through fully-automated 3D organ segmentation
PurposeTo evaluate the efficacy of volumetric CT attenuation-based parameters obtained through automated 3D organ segmentation on virtual...
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Efficacy of automated insulin delivery in pregnant women with type 1 diabetes: a meta-analysis and trial sequential analysis of randomized controlled trials
BackgroundAutomated insulin delivery (AID) devices have shown to be a promising treatment to improve glycemic control in patients with type 1...
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Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
BackgroundConventional approach to myocardial strain analysis relies on a software designed for the left ventricle (LV) which is complex and...
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Reliability of semi-automated spinal measurement software
PurposeIn the treatment of patients with adult spinal deformity, analysis of spinopelvic balance is essential in clinical assessment and surgical...
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Vascular feature identification in actinic keratosis grades I-III using dynamic optical coherence tomography with automated, quantitative analysis
Clinical grading of actinic keratosis (AK) is based on skin surface features, while subclinical alterations are not taken into consideration. Dynamic...
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An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology
BackgroundThe assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the...
