Artificial Intelligence Medical Compendium

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

Showing 20,451 to 20,460 of 215,962 articles

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 

AI-powered evaluation of dementia severity based on clinical data and visual scoring systems (MTA, ERICA, GCA) from MRI.

Scientific reports
Dementia, particularly Alzheimer's disease (AD), is a growing concern in aging populations, with mild cognitive impairment (MCI) frequently progressing to AD. While existing studies often rely on comprehensive neuropsychological evaluations and asses... read more 

Crowdsourcing enables robust cell annotation for breast cancer pathology.

Scientific reports
The tumor microenvironment (TME) contains important morphological and molecular cues that help determine prognosis and therapeutic responses. Deep learning models can assist pathologists in assessing such biomarkers. However, generating high-quality ... read more 

Intravenous extravasation report generation using deep learning, generative artificial intelligence, and visual question answering techniques.

Scientific reports
Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances extravasation management by integrating Visual Question Answering (VQA) technology within the Thamm... read more