AIMC Journal:
Scientific reports

Showing 1871 to 1880 of 5371 articles

Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.

Scientific reports Jul 4, 2024
The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating advanced tools for clinical decision support. Amidst the complexity of COVID-19 symptomatology and disease severity prediction, there is a critical need for robus...
Decision Support Systems, Clinical COVID-19 Bayes Theorem SARS-CoV-2 Deep Learning Humans Artificial Intelligence Pandemics
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Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition.

Scientific reports Jul 4, 2024
The diagnosis of leukemia is a serious matter that requires immediate and accurate attention. This research presents a revolutionary method for diagnosing leukemia using a Capsule Neural Network (CapsNet) with an optimized design. CapsNet is a cuttin...
Humans Algorithms Databases, Factual Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Leukemia
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Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence.

Scientific reports Jul 4, 2024
We sought to validate the ability of a novel handheld ultrasound device with an artificial intelligence program (AI-POCUS) that automatically assesses left ventricular ejection fraction (LVEF). AI-POCUS was used to prospectively scan 200 patients in ...
Artificial Intelligence Prospective Studies Heart Ventricles Female Ventricular Dysfunction, Left Humans Stroke Volume Aged Middle Aged Echocardiography Male Ultrasonography Ventricular Function, Left
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Temporal-spatial cross attention network for recognizing imagined characters.

Scientific reports Jul 4, 2024
Previous research has primarily employed deep learning models such as Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for decoding imagined character signals. These approaches have treated the temporal and spatial features ...
Electroencephalography Signal Processing, Computer-Assisted Attention Brain-Computer Interfaces Imagination Neural Networks, Computer Brain Deep Learning Humans
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DSnet: a new dual-branch network for hippocampus subfield segmentation.

Scientific reports Jul 3, 2024
The hippocampus is a critical component of the brain and is associated with many neurological disorders. It can be further subdivided into several subfields, and accurate segmentation of these subfields is of great significance for diagnosis and rese...
Humans Neural Networks, Computer Magnetic Resonance Imaging Hippocampus Algorithms Deep Learning Image Processing, Computer-Assisted
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Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.

Scientific reports Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Phenotype Biomarkers Aged ROC Curve Humans Metabolomics Machine Learning Male Random Forest Diagnosis, Differential Down-Regulation Middle Aged Tuberculosis Models, Statistical Area Under Curve Up-Regulation Mycobacterium Infections, Nontuberculous Liquid Chromatography-Mass Spectrometry Amino Acids Metabolome
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Deriving general structure-activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods.

Scientific reports Jul 3, 2024
Cyclin-dependent kinases (CDKs) play essential roles in regulating the cell cycle and are among the most critical targets for cancer therapy and drug discovery. The primary objective of this research is to derive general structure-activity relationsh...
Protein Kinase Inhibitors Cyclin-Dependent Kinases Machine Learning Drug Discovery Structure-Activity Relationship Humans Neural Networks, Computer
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Structure focused neurodegeneration convolutional neural network for modelling and classification of Alzheimer's disease.

Scientific reports Jul 3, 2024
Alzheimer's disease (AD), the predominant form of dementia, is a growing global challenge, emphasizing the urgent need for accurate and early diagnosis. Current clinical diagnoses rely on radiologist expert interpretation, which is prone to human err...
Humans Neural Networks, Computer Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Brain Deep Learning Image Processing, Computer-Assisted
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Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images.

Scientific reports Jul 2, 2024
This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were rando...
Humans Kaplan-Meier Estimate Brain Neoplasms Male Middle Aged Glioblastoma Matrix Metalloproteinase 9 ROC Curve Support Vector Machine Aged Adult Biomarkers, Tumor Machine Learning Prognosis Female
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Power spectral density-based resting-state EEG classification of first-episode psychosis.

Scientific reports Jul 2, 2024
Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during sensory and c...
Brain Female Young Adult Adult Humans Machine Learning Electroencephalography Signal Processing, Computer-Assisted Psychotic Disorders Rest Male Adolescent Support Vector Machine
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