Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 321 to 330 of 6,574 articles

Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.

Scientific reports Jul 19, 2025
The critical role of gut microbiota in human health and disease has been increasingly illustrated over the past decades, with a significant amount of research demonstrating an unmet need for self-monitor of the fecal microbial composition in an easil... read more 
Feces Smartphone Middle Aged Cohort Studies RNA, Ribosomal, 16S Metagenomics Bacteria Gastrointestinal Microbiome Humans Female Adult Male

Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks.

Scientific reports Jul 19, 2025
Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inher... read more 
Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Neural Networks, Computer Wavelet Analysis Algorithms Machine Learning Deep Learning

Enhancing cardiac disease detection via a fusion of machine learning and medical imaging.

Scientific reports Jul 19, 2025
Cardiovascular illnesses continue to be a predominant cause of mortality globally, underscoring the necessity for prompt and precise diagnosis to mitigate consequences and healthcare expenditures. This work presents a complete hybrid methodology that... read more 
Neural Networks, Computer Magnetic Resonance Imaging Cardiovascular Diseases Machine Learning Diagnostic Imaging Echocardiography Female Heart Diseases Humans Male Image Processing, Computer-Assisted Middle Aged Support Vector Machine

A context aware multiclass loss function for semantic segmentation with a focus on intricate areas and class imbalances.

Scientific reports Jul 19, 2025
Image segmentation models play an important role in many machine vision systems by providing a more interpretable representation of images to computers. The accuracy of these models is vital, as it can directly impact the overall performance of the s... read more 

Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Scientific reports Jul 19, 2025
Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy ... read more 
Soil China Machine Learning Algorithms Trees Water Fruit Forests

The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network.

Scientific reports Jul 19, 2025
With the rapid development of multimodal learning technologies, this work proposes a Future-Aware Multimodal Consistency Translation (FACT) model. This model incorporates future information guidance and multimodal consistency modeling to improve tran... read more 

Data driven fuel consumption prediction model for green aviation using radial basis function neural network.

Scientific reports Jul 19, 2025
In response to the growing demand for sustainable aviation, a fuel consumption prediction model based on Radial Basis Function (RBF) Neural Networks was proposed. Using high-resolution onboard Quick Access Recorder (QAR) data, which contains richer f... read more 

Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Scientific reports Jul 19, 2025
Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal cells is a potential means of reducing the graft rejection and post-transplant complications in lung transplantation. Achieving a fully recellularized ... read more 
Mice Lung Transplantation Lung Animals Endothelial Cells Tissue Engineering Image Processing, Computer-Assisted Tissue Scaffolds

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Scientific reports Jul 19, 2025
Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. Factors affecting maternal and fetal health during early to mid-pregnancy can greatly influence fetal development.... read more 
Adult Birth Weight Female Infant, Newborn Algorithms Prospective Studies Biomarkers Pregnancy Artificial Intelligence Humans Machine Learning

The AlexNet HSD model for industrial heritage damage detection and adaptive reuse under artificial intelligence.

Scientific reports Jul 19, 2025
As the importance of preserving and utilizing industrial heritage continues to grow, improving the efficiency and accuracy of damage detection for industrial heritage has become a key research focus. This work optimizes the structure of the tradition... read more 
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