AIMC Journal:
Scientific reports

Showing 1261 to 1270 of 5366 articles

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Scientific reports Dec 30, 2024
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence. The chances of treating the Recurrence of cervic...
Neoplasm Recurrence, Local Adult Survival Rate Biomarkers, Tumor Support Vector Machine RNA, Long Noncoding Uterine Cervical Neoplasms Middle Aged Prognosis Female Risk Factors Humans Neural Networks, Computer Algorithms
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Scientific reports Dec 30, 2024
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the...
Treatment Outcome Tomography, X-Ray Computed Female Melanoma Humans Retrospective Studies Middle Aged Deep Learning ROC Curve Immune Checkpoint Inhibitors Aged Adult Male
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Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers.

Scientific reports Dec 30, 2024
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researc...
Cross-Sectional Studies Biomedical Research Male Publishing Research Personnel Surveys and Questionnaires Natural Language Processing Language Female Adult Humans Artificial Intelligence
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A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.

Scientific reports Dec 30, 2024
Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-cl...
Nurses Random Forest Humans Neural Networks, Computer Algorithms
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A parallel CNN architecture for sport activity recognition based on minimal movement data.

Scientific reports Dec 30, 2024
Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. Such progress benefits all age groups of huma...
Machine Learning Algorithms Wavelet Analysis Fourier Analysis Sports Movement Humans Neural Networks, Computer
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Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.

Scientific reports Dec 30, 2024
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 201...
Occupational Diseases Miners Middle Aged Risk Assessment Hypertension Occupational Health Mining Internet Iran Adult Male Cardiovascular Diseases Machine Learning Female Risk Factors Humans
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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.

Scientific reports Dec 30, 2024
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weathe...
Neural Networks, Computer Algorithms Temperature Humans Weather Clothing Deep Learning Image Processing, Computer-Assisted Environmental Monitoring
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Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness.

Scientific reports Dec 30, 2024
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clu...
Humans Brain Connectome Nerve Net Models, Neurological Brain Mapping Consciousness Male Deep Learning Magnetic Resonance Imaging
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Pattern memory cannot be completely and truly realized in deep neural networks.

Scientific reports Dec 30, 2024
The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. Undoubtedly, DNN-empowered AI capability is i...
Memory Humans Deep Learning Cognition Neural Networks, Computer Artificial Intelligence
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Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

Scientific reports Dec 28, 2024
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breas...
Aged Adult Breast Neoplasms Radiomics Humans Female ROC Curve Diagnosis, Differential Ultrasonography, Mammary Breast Middle Aged Deep Learning Ultrasonography
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