AIMC Topic: Algorithms

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Quantum-inspired computational drug design for phytopharmaceuticals: a herbal holography analysis.

Journal of molecular modeling Jun 13, 2025
CONTEXT: Modern medication discovery is undergoing a paradigm change at the junction of herbal pharmacology with computational modeling informed by quantum theory. Herbal compounds, which have often been considered as complex and poorly understood en...
Holography Drug Design Phytochemicals Quantum Theory Humans Algorithms Computer Simulation
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Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

JCO clinical cancer informatics Jun 13, 2025
PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stereotactic radiosurgery (SRS) from electronic health records is a critical but challenging task. Traditional methods of identifying the primary tumor his...
Radiosurgery Electronic Health Records Humans Neoplasms Algorithms Natural Language Processing
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A method for feature division of Soccer Foul actions based on salience image semantics.

PloS one Jun 13, 2025
The purpose of this study is to realize the automatic identification and classification of fouls in football matches and improve the overall identification accuracy. Therefore, a Deep Learning-Based Saliency Prediction Model (DLSPM) is proposed. DLSP...
Soccer Humans Video Recording Neural Networks, Computer Semantics Algorithms Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted
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Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation.

PloS one Jun 13, 2025
INTRODUCTION: Sleep disorders significantly disrupt normal sleep patterns and pose serious health risks. Traditional diagnostic methods, such as questionnaires and polysomnography, often require extensive time and are susceptible to errors. This high...
Sleep Deprivation Humans Wavelet Analysis Neural Networks, Computer Polysomnography Male Algorithms Electroencephalography Female Signal Processing, Computer-Assisted Adult
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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network.

PloS one Jun 13, 2025
PURPOSE: To enhance glioma segmentation, a 3D-MRI intelligent glioma segmentation method based on deep learning is introduced. This method offers significant guidance for medical diagnosis, grading, and treatment strategy selection.
Algorithms Brain Neoplasms Deep Learning Imaging, Three-Dimensional Glioma Magnetic Resonance Imaging Humans Neural Networks, Computer
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Optimal feature selection and model explanation for reef fish sound classification.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 12, 2025
Fish produce a wide variety of sounds that contribute to the soundscapes of aquatic environments. In reef systems, these sounds are important acoustic cues for various ecological processes. Artificial intelligence methods to detect, classify and iden...
Sound Fishes Vocalization, Animal Algorithms Animals Acoustics Coral Reefs Artificial Intelligence
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

PloS one Jun 12, 2025
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care unit (ICU) settings, leveraging preoperative and postoperative clinical variables, and to identify k...
Middle Aged Postoperative Complications ROC Curve Logistic Models Cardiac Surgical Procedures Risk Factors Aged Male Intensive Care Units Female Humans Algorithms Databases, Factual Retrospective Studies Acute Kidney Injury
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Implementation of biomedical segmentation for brain tumor utilizing an adapted U-net model.

Computers in biology and medicine Jun 11, 2025
Using radio signals from a magnetic field, magnetic resonance imaging (MRI) represents a medical procedure that produces images to provide more information than typical scans. Diagnosing brain tumors from MRI is difficult because of the wide range of...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning
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Automated identification of serotype using MALDI-TOF mass spectrometry and machine learning techniques.

Journal of clinical microbiology Jun 11, 2025
UNLABELLED: serotyping is essential for epidemiological studies and clinical treatment guidance. However, traditional serological agglutination methods are time-consuming, technically complex, and difficult to adopt at scale. Matrix-assisted laser d...
Humans Salmonella Infections Machine Learning Serogroup Algorithms Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Salmonella Serotyping
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Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging.

Analytical chemistry Jun 11, 2025
Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular architecture and molecular composition with unprecedented detail. Virtual staining techniques, which rely on computational algorithms to map molecular ...
Machine Learning Algorithms Cell Line, Tumor Humans Neural Networks, Computer Hyperspectral Imaging Multivariate Analysis Principal Component Analysis Staining and Labeling Least-Squares Analysis Spectrum Analysis, Raman Collagen Lipids
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