AIMC Journal:
Scientific reports

Showing 1551 to 1560 of 5371 articles

Visualization obesity risk prediction system based on machine learning.

Scientific reports Sep 28, 2024
Obesity is closely associated with various chronic diseases.Therefore, accurate, reliable and cost-effective methods for preventing its occurrence and progression are required. In this study, we developed a visualized obesity risk prediction system b...
Middle Aged Risk Assessment Risk Factors Body Mass Index Adult Male Humans Machine Learning Female Obesity
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Combining 2.5D deep learning and conventional features in a joint model for the early detection of sICH expansion.

Scientific reports Sep 28, 2024
The study aims to investigate the potential of training efficient deep learning models by using 2.5D (2.5-Dimension) masks of sICH. Furthermore, it intends to evaluate and compare the predictive performance of a joint model incorporating four types o...
Deep Learning ROC Curve Retrospective Studies Early Diagnosis Aged Humans Female Male Middle Aged
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Impact of artificial intelligence assistance on pulmonary nodule detection and localization in chest CT: a comparative study among radiologists of varying experience levels.

Scientific reports Sep 28, 2024
The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improv...
Solitary Pulmonary Nodule Radiologists Radiographic Image Interpretation, Computer-Assisted Middle Aged Humans Lung Neoplasms Multiple Pulmonary Nodules Female Aged Adult Male Artificial Intelligence Software Tomography, X-Ray Computed
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Chemical characterization of hibiscus rosa-sinensis plant fibers facilitated through design of experiments and artificial neural network hybrid approach.

Scientific reports Sep 28, 2024
The integration of natural fibers into Fiber Reinforced Polymers (FRPs) has emerged as a promising avenue for sustainable and high-performance composite materials. Natural fibers, derived from plants, offer notable advantages such as renewability, lo...
Neural Networks, Computer X-Ray Diffraction Thermogravimetry Potassium Permanganate Sodium Hydroxide Hibiscus
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Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy.

Scientific reports Sep 28, 2024
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver transplantation in expert centers. Accurate understanding of biliary structures is crucial during PLDH to minimize the risk of complications. This study ...
Humans Laparoscopy Feasibility Studies Liver Transplantation Biliary Tract Adult Hepatectomy Algorithms Deep Learning Male Bile Ducts Living Donors Retrospective Studies Female
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Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at endoscopic ultrasound-guided fine needle aspiration.

Scientific reports Sep 28, 2024
Rapid on-site cytopathology evaluation (ROSE) has been considered an effective method to increase the diagnostic ability of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA); however, ROSE is unavailable in most institutes worldwide due t...
Deep Learning Pancreatic Neoplasms Endoscopic Ultrasound-Guided Fine Needle Aspiration Rapid On-site Evaluation Sensitivity and Specificity Male Middle Aged Artificial Intelligence Female Aged Humans
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CNVoyant a machine learning framework for accurate and explainable copy number variant classification.

Scientific reports Sep 28, 2024
The precise classification of copy number variants (CNVs) presents a significant challenge in genomic medicine, primarily due to the complex nature of CNVs and their diverse impact on rare genetic diseases (RGDs). This complexity is compounded by the...
Machine Learning Genomics Humans Databases, Genetic DNA Copy Number Variations
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Feature-based detection of breast cancer using convolutional neural network and feature engineering.

Scientific reports Sep 27, 2024
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To impro...
Breast Neoplasms Convolutional Neural Networks Datasets as Topic Data Display Biomarkers Computer Simulation Female Machine Learning Data Analysis Humans
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Automated ventricular segmentation and shunt failure detection using convolutional neural networks.

Scientific reports Sep 27, 2024
While ventricular shunts are the main treatment for adult hydrocephalus, shunt malfunction remains a common problem that can be challenging to diagnose. Computer vision-derived algorithms present a potential solution. We designed a feasibility study ...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Humans Neural Networks, Computer Machine Learning Cerebrospinal Fluid Shunts Hydrocephalus Feasibility Studies Cerebral Ventricles Male Middle Aged Aged Image Processing, Computer-Assisted Aged, 80 and over Adult
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Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis.

Scientific reports Sep 27, 2024
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early immune infiltration. Feature selection was performed on The Cancer Genome Atlas (TCGA...
ROC Curve Lung Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Prognosis Machine Learning Biomarkers, Tumor Algorithms Gene Expression Profiling Humans Lymphocytes, Tumor-Infiltrating Adenocarcinoma of Lung
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