Artificial Intelligence Medical Compendium

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

Showing 71,711 to 71,720 of 234,892 articles

Comparative Analysis of Deep Learning-Based Algorithms for Peptide Structure Prediction.

Proteins
While of primary importance in both the biomedical and therapeutic fields, peptides suffer from a relative lack of dedicated tools to predict efficiently and accurately their 3D structures despite being a crucial step in understanding their physio-pa... read more 

Distinctive Properties of Mla Proteins Differentiate Them From Classical ABC Transporter Components.

Proteins
In Gram-negative bacteria, the non-canonical ABC transporter, namely, maintenance of lipid asymmetry (Mla) system, ferries phospholipids (PLs) between the inner (IM) and outer (OM) membranes to preserve the PL asymmetry of the OM. The system utilizes... read more 

Beehive-entrance imaging and deep learning for real-time monitoring of Varroa destructor in apiculture.

Journal of invertebrate pathology
Varroa destructor is a major ectoparasite threatening apiculture worldwide, especially in Taiwan. We retrofit conventional hives with an entrance imaging chamber and deploy a YOLOv5s-based detector for real-time mite detection on Apis mellifera. Trai... read more 

Evaluating bone density with ultrasonic backscatter: Leveraging time-frequency analyses and convolutional neural networks.

Ultrasonics
Osteoporosis is a disease characterized by decreased bone density and increased fracture risk. This study proposes a convolutional neural network (CNN) method for detecting changes in bone density using spectrograms or scalograms generated from ultra... read more 

Synchronization of reaction-diffusion delayed inertial memristive neural networks via adaptive pinning control.

Neural networks : the official journal of the International Neural Network Society
The synchronization control problem of delayed inertial memristive neural networks (DIMNNs) with reaction-diffusion terms is addressed. First, by differential inclusions and a reduced-order approach to analyze the DIMNNs. Second, an adaptive pinning ... read more 

Rapid methanol detection in ethanol solutions via non-linear Raman spectroscopy modeling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Methanol contamination in ethanol-based products poses a significant health risk due to its toxicity at low concentrations. This study developed a rapid, non-destructive method for detecting and quantifying methanol in alcoholic beverages using Raman... read more 

Self identity mapping.

Neural networks : the official journal of the International Neural Network Society
Regularization is essential in deep learning to enhance generalization and mitigate overfitting. However, conventional techniques often rely on heuristics, making them less reliable or effective across diverse settings. We propose Self Identity Mappi... read more 

Anesthesia and mitochondria: balancing toxicity and protection through emerging therapeutic strategies.

Journal of anesthesia
Anesthesia is a cornerstone of modern surgical practice, enabling interventions by deliberately modulating nociception and consciousness-from localized analgesia and mild sedation to deep unconsciousness. Yet the molecular and cellular mechanisms tha... read more 

Domain adaptive underwater object detection via complementary style-aware learning.

Neural networks : the official journal of the International Neural Network Society
Images from different underwater domains exhibit multi-style variations caused by water quality, lighting, and imaging devices. The domain gap caused by these variations, combined with limited annotated data in target domains, leads to degraded objec... read more 

Artificial intelligence in paediatric respiratory medicine.

Paediatric respiratory reviews
Proponents of artificial intelligence (AI) believe that it will revolutionise the modern world, affecting how healthcare is delivered and improve both the clinical care we provide and the ease with which we perform our work. In this paper we explain ... read more