AIMC Journal:
Scientific reports

Showing 1711 to 1720 of 5371 articles

Automatic detection and visualization of temporomandibular joint effusion with deep neural network.

Scientific reports Aug 14, 2024
This study investigated the usefulness of deep learning-based automatic detection of temporomandibular joint (TMJ) effusion using magnetic resonance imaging (MRI) in patients with temporomandibular disorder and whether the diagnostic accuracy of the ...
Temporomandibular Joint Magnetic Resonance Imaging Adolescent Temporomandibular Joint Disorders Humans Aged Image Processing, Computer-Assisted Male Neural Networks, Computer Young Adult Female Adult Middle Aged Deep Learning
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Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

Scientific reports Aug 14, 2024
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic ...
COVID-19 SARS-CoV-2 Mental Health Stress Disorders, Post-Traumatic Humans Machine Learning Survivors Support Vector Machine Social Media Bayes Theorem
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Machine learning analysis of serum cholesterol's impact on knee osteoarthritis progression.

Scientific reports Aug 14, 2024
The controversy surrounding whether serum total cholesterol is a risk factor for the graded progression of knee osteoarthritis (KOA) has prompted this study to develop an authentic prediction model using a machine learning (ML) algorithm. The objecti...
Disease Progression Cholesterol Humans Osteoarthritis, Knee Machine Learning Algorithms Cross-Sectional Studies Male Female Middle Aged Risk Factors Aged
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Development and performance evaluation of fully automated deep learning-based models for myocardial segmentation on T1 mapping MRI data.

Scientific reports Aug 14, 2024
To develop a deep learning-based model capable of segmenting the left ventricular (LV) myocardium on native T1 maps from cardiac MRI in both long-axis and short-axis orientations. Models were trained on native myocardial T1 maps from 50 healthy volun...
Adult Male Humans Female Magnetic Resonance Imaging Heart Middle Aged Myocardium Heart Ventricles Deep Learning Image Processing, Computer-Assisted
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Segmentation of ovarian cyst in ultrasound images using AdaResU-net with optimization algorithm and deep learning model.

Scientific reports Aug 14, 2024
Ovarian cysts pose significant health risks including torsion, infertility, and cancer, necessitating rapid and accurate diagnosis. Ultrasonography is commonly employed for screening, yet its effectiveness is hindered by challenges like weak contrast...
Humans Ovarian Cysts Neural Networks, Computer Algorithms Ultrasonography Image Processing, Computer-Assisted Female Deep Learning
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C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning.

Scientific reports Aug 14, 2024
The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation o...
C-Reactive Protein Urinary Tract Infections Optical Fibers Interferometry Sepsis Biosensing Techniques Inflammation Humans Machine Learning
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Reproducibility and across-site transferability of an improved deep learning approach for aneurysm detection and segmentation in time-of-flight MR-angiograms.

Scientific reports Aug 13, 2024
This study aimed to (1) replicate a deep-learning-based model for cerebral aneurysm segmentation in TOF-MRAs, (2) improve the approach by testing various fully automatic pre-processing pipelines, and (3) rigorously validate the model's transferabilit...
Image Processing, Computer-Assisted Magnetic Resonance Angiography Intracranial Aneurysm Reproducibility of Results Male Deep Learning Neural Networks, Computer Female Humans
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Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification.

Scientific reports Aug 13, 2024
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the incorporation of hair minerals into ML models remains unexplored. This study aimed to develop ML models for predicting low bone mass (LBM) using health...
Humans Osteoporosis Female Aged Male Machine Learning Algorithms Bone Density Hair Middle Aged ROC Curve Minerals
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Efficient artificial intelligence-based assessment of the gastroesophageal valve with Hill classification through active learning.

Scientific reports Aug 13, 2024
Standardized assessment of the gastroesophageal valve during endoscopy, attainable via the Hill classification, is important for clinical assessment and therapeutic decision making. The Hill classification is associated with the presence of hiatal he...
Gastroscopy Problem-Based Learning Hernia, Hiatal Esophagogastric Junction Humans Artificial Intelligence Gastroesophageal Reflux
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Development and experimental validation of hypoxia-related gene signatures for osteosarcoma diagnosis and prognosis based on WGCNA and machine learning.

Scientific reports Aug 12, 2024
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here, we comprehensively analysed the hypoxia signalling in OS and further constructed novel hypoxia-related gene signatures for OS prediction and prognosi...
Gene Expression Profiling Machine Learning Female ROC Curve Prognosis Bone Neoplasms Transcriptome Membrane Proteins Gene Expression Regulation, Neoplastic Humans Hypoxia Glycoproteins Biomarkers, Tumor Intercellular Signaling Peptides and Proteins Nomograms Male Osteosarcoma
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