Artificial Intelligence Medical Compendium

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

Showing 921 to 930 of 160,607 articles

Fibrous Pressure Sensor with Unique Resistance Increase under Partial Compression: Coaxial Wet-Spun TiO/Graphene/Thermoplastic Polyurethane Multi-Wall Multifunctional Fiber.

Advanced materials (Deerfield Beach, Fla.) Jul 16, 2025
Fiber-shaped resistive pressure-sensitive sensors are rare. Although fibers are widely used in strain sensors owing to their structural advantages, developing fiber-shaped resistive pressure sensors is challenging. This challenge arises because the f... read more 

On-Mask Magnetoelastic Sensor Network for Self-Powered Respiratory Monitoring.

ACS nano Jul 16, 2025
Respiratory monitoring is crucial because it provides key insights into a person's health and physiological conditions. Conventional respiratory sensing is significantly challenged by the presence of water vapor in exhaled breath. An on-mask magnetoe... read more 

Cornerstones are the key stones: using interpretable machine learning to probe the clogging process in 2D granular hoppers.

Soft matter Jul 16, 2025
The sudden arrest of flow by formation of a stable arch over an outlet is a unique and characteristic feature of granular materials. Previous work suggests that grains near the outlet randomly sample configurational flow microstates until a clog-caus... read more 

Breaking barriers in ICD classification with a robust graph neural network for hierarchical coding.

Scientific reports Jul 16, 2025
The accurate classification of International Classification of Diseases (ICD) codes is a complex and critical multi-label task in clinical documentation, involving the assignment of diagnostic codes to medical discharge summaries. Existing automated ... read more 

Unicorns transforming the practice of urology: value creation and allocation in the digital age.

World journal of urology Jul 16, 2025
PURPOSE: To analyze what kind of products and services unicorns, which create a substantial financial value, provide in urology and what this means for the future of urological practice. So far, the added value of unicorns has hardly been utilised fo... read more 
Humans Artificial Intelligence Biomedical Research Urology

Artificial intelligence tools to assess different levels of activity performed by semi-wild horses in grassland ecosystems.

Environmental monitoring and assessment Jul 16, 2025
In order to understand the role of horses in ecosystems and to effectively use their grazing in the protection of grasslands, it is important to assess where they primarily stay, followed by whether these habitats are used for grazing or resting. The... read more 
Artificial Intelligence Animals Ecosystem Environmental Monitoring Horses Behavior, Animal Grassland

Paediatric rare diseases: Can large language models assist off-label prescribing?

British journal of clinical pharmacology Jul 16, 2025
AIMS: To evaluate the effectiveness and reliability of large language models (LLMs) in retrieving and synthesizing biomedical information to support off-label drug prescribing in paediatric rare diseases, and to compare their performance with human-a... read more 

Quantifying tolerances or maximum residue limits of pesticide in food commodities via deep neural networks.

Pest management science Jul 16, 2025
BACKGROUND: Quantifying tolerances or legal maximum residue limits (MRLs) of pesticide in/on food commodities is of significance to enforce the surveillance of food safety/quality and good agricultural practices (GAP). Current in silico models mostly... read more 

Dynamic graph structure evolution for node classification with missing attributes.

Scientific reports Jul 16, 2025
Graph neural networks (GNN) have achieved remarkable success in various domains, yet incomplete node attribute data can significantly impair their performance. Graph completion learning (GCL) methods have been developed to address this issue, aiming ... read more 

A non-anatomical graph structure for boundary detection in continuous sign language.

Scientific reports Jul 16, 2025
Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has been studied by researchers. To enhance the model performance, replace the handcrafted feature extractor, and also consider the hand structure in these... read more 
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