AIMC Topic: Algorithms

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Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning.

Scientific reports Jul 8, 2025
Southern pine forests play a key role in the ecological function and economic vitality of the southeastern United States. High-resolution terrestrial laser scanning (TLS) has become an indispensable tool for advancing tree structural research and mon...
Wood Forests Pinus taeda Florida Trees Algorithms Lasers Plant Leaves Pinus
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view.

Scientific reports Jul 8, 2025
This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique view and Monte Carlo (MC) validated dose point kernels (DPKs) alongside the integration of artificial intelligence (AI) for accurate dose prediction w...
Single Photon Emission Computed Tomography Computed Tomography Whole Body Imaging Neuroendocrine Tumors Radiometry Female Aged Adult Humans Artificial Intelligence Thyroid Neoplasms Algorithms Male Iodine Radioisotopes Middle Aged Monte Carlo Method
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Advancing the accuracy of clathrin protein prediction through multi-source protein language models.

Scientific reports Jul 8, 2025
Clathrin is a key cytoplasmic protein that serves as the predominant structural element in the formation of coated vesicles. Specifically, clarithin enables the scission of newly formed vesicles from the plasma membrane's cytoplasmic face. Efficient ...
Neural Networks, Computer Algorithms Databases, Protein Clathrin Computational Biology Humans
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Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.

Scientific reports Jul 8, 2025
Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the serious health consequences and economic burden that strokes can cause. In this study, we proposed a class-balanced and dat...
Stroke Risk Factors Humans Risk Assessment Algorithms Deep Learning
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Motor imagery EEG signal classification using novel deep learning algorithm.

Scientific reports Jul 8, 2025
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges ...
Wavelet Analysis Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Deep Learning Electroencephalography Algorithms
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Nature communications Jul 8, 2025
Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this e...
Benchmarking Artificial Intelligence Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Humans
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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

JMIR aging Jul 8, 2025
BACKGROUND: In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. Howev...
Algorithms Retrospective Studies Electronic Health Records Humans Aged Aged, 80 and over Male Female Hospitalization Natural Language Processing Hong Kong International Classification of Diseases Accidental Falls Inpatients
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Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net.

PloS one Jul 8, 2025
Human Activity Recognition (HAR) plays a pivotal role in video understanding, with applications ranging from surveillance to virtual reality. Skeletal data has emerged as a robust modality for HAR, overcoming challenges such as noisy backgrounds and ...
Skeleton Humans Neural Networks, Computer Video Recording Sports Algorithms
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Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PloS one Jul 8, 2025
PURPOSE: Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, standard machine learning algorithms are not perfectly suited for clinical data since the data are interconnected and may contain time series. As show...
Neural Networks, Computer Machine Learning Algorithms Humans Blood Cell Count Graph Neural Networks Sepsis
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Plant attribute extraction: An enhancing three-stage deep learning model for relational triple extraction.

PloS one Jul 8, 2025
Various plant attributes, such as growing environment, growth cycle, and ecological distribution, can provide support to fields like agricultural production and biodiversity. This information is widely dispersed in texts. Manual extraction of this in...
Algorithms Deep Learning Plants
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