AIMC Journal:
Scientific reports
Showing 1801 to 1810 of 5371 articles
A deep learning approach to hard exudates detection and disorganization of retinal inner layers identification on OCT images.
Scientific reports
Jul 19, 2024
The purpose of the study was to detect Hard Exudates (HE) and classify Disorganization of Retinal Inner Layers (DRIL) implementing a Deep Learning (DL) system on optical coherence tomography (OCT) images of eyes with diabetic macular edema (DME). We ...
Application of untargeted liquid chromatography-mass spectrometry to routine analysis of food using three-dimensional bucketing and machine learning.
Scientific reports
Jul 18, 2024
For the detection of food adulteration, sensitive and reproducible analytical methods are required. Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) is a highly sensitive method that can be used to obtain analytical finger...
The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning.
Scientific reports
Jul 18, 2024
The aim of this study was to test the morphometric features affecting 20-m sprint performance in children at the first level of primary education using machine learning (ML) algorithms. In this study, 130 male and 152 female volunteers aged between 6...
Estimating infant age from skull X-ray images using deep learning.
Scientific reports
Jul 18, 2024
This study constructed deep learning models using plain skull radiograph images to predict the accurate postnatal age of infants under 12 months. Utilizing the results of the trained deep learning models, it aimed to evaluate the feasibility of emplo...
Prognostic significance of migrasomes in neuroblastoma through machine learning and multi-omics.
Scientific reports
Jul 18, 2024
This study explores migrasomes' role in neuroblastoma, a common malignant tumor in children, and their potential impact on tumor formation. We analyzed neuroblastoma RNA-seq datasets from public databases, including GSE62564, GSE181559, target, and f...
Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution.
Scientific reports
Jul 18, 2024
Despite recent advances in surgical techniques and perinatal management in obstetrics for reducing intraoperative bleeding, blood transfusion may occur during a cesarean section (CS). This study aims to identify machine learning models with an optima...
FSRW: fuzzy logic-based whale optimization algorithm for trust-aware routing in IoT-based healthcare.
Scientific reports
Jul 18, 2024
The Internet of Things (IoT) is an extensive system of interrelated devices equipped with sensors to monitor and track real world objects, spanning several verticals, covering many different industries. The IoT's promise is capturing interest as its ...
In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy.
Scientific reports
Jul 17, 2024
Due to considerable global prevalence and high recurrence rate, the pursuit of effective new medication for epilepsy treatment remains an urgent and significant challenge. Drug repurposing emerges as a cost-effective and efficient strategy to combat ...
AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction.
Scientific reports
Jul 17, 2024
Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment elevation myocardial infarction (STEMI) patients are associated with prognosis. This study investigated the feasibility of predicting left ventricula...
Finite element models with automatic computed tomography bone segmentation for failure load computation.
Scientific reports
Jul 17, 2024
Bone segmentation is an important step to perform biomechanical failure load simulations on in-vivo CT data of patients with bone metastasis, as it is a mandatory operation to obtain meshes needed for numerical simulations. Segmentation can be a tedi...
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