Artificial Intelligence Medical Compendium

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

Showing 20,611 to 20,620 of 216,088 articles

Using the Novel Translation Validity Index to Evaluate GenAI Translations of the Patient Health Questionnaire-9 Into Nine Languages.

Journal of nursing measurement
Background and Purpose: Depressive symptoms affect 280 million people worldwide. Although generative artificial intelligence (GenAI) tools are increasingly used in health care translation, their translation performance across languages remains unclea... read more 

Integrating ionomes and metabolomes across organelles.

Trends in plant science
Plant metabolism is highly compartmentalized, sometimes even across organelles. Many participating enzymes are metalloproteins. Yet an integration of the metabolome and ionome is missing. Recently, nonaqueous fractionation (NAF) was adapted to deciph... read more 

General workflow for localizing hydrides in metal nanoclusters by combining stochastic surface walking with neural-network potentials.

Nature communications
Ligand-protected metal hydride nanoclusters are crucial for applications in catalysis, luminescence, and energy technologies. However, accurately locating hydrogen atoms (hydrides) within these complex structures remains a significant challenge, hind... read more 

AI-enabled wireless wearable breathing sensor for breathing pattern recognition.

Scientific reports
This paper presents an AI-driven multisensor wearable system for real-time breathing pattern recognition by integrating an inertial measurement unit (IMU) and a flex sensor with wireless data connectivity. Three artificial intelligence models-transfo... read more 

Federated learning with swarm intelligence for efficient and secure medical image analysis.

Scientific reports
Collaborative learning in healthcare faces challenges, including strict regulations and fragmented data. This research introduces a federated learning framework that employs swarm intelligence to augment communication and enhance the analysis of medi... read more 

Machine learning-driven discovery of therapeutic nucleoside hydrogels for periodontitis.

International journal of oral science
Supramolecular hydrogels hold significant potential in drug delivery and tissue engineering, with standing out for their unique properties. Despite their promise, predicting nucleoside bioactivity remains challenging. This study aims to predict the b... read more 

Integrating experimental data and machine learning to predict collapse potential of loessic and lacustrine-alluvial soils using suction and SWCC parameters.

Scientific reports
This study investigates the influence of geological characteristics and Soil-Water Characteristic Curve (SWCC) parameters on the collapse potential (CP) of unsaturated soils from loessic and lacustrine-alluvial deposits in Iran. Laboratory experiment... read more 

Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images.

NPJ breast cancer
The OncotypeDX 21-gene assay guides adjuvant chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer, but cost and turnaround time limit access. This study presents a deep learning-based approach for predicting O... read more 

A thermodynamics-integrated physics-guided neural network for soil temperature forecasting.

Scientific reports
Soil temperature forecasting plays a key role in agriculture, hydrology, and climate modeling; however, existing deep learning models often show degraded performance in long-term prediction due to error accumulation, insufficient physical interpretab... read more