Artificial Intelligence Medical Compendium

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

Showing 32,841 to 32,850 of 221,227 articles

Exposome-wide patterns predict brain health in aging.

Nature communications
Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference between chronological and predicted brain age- relates to many factors. However, a holistic view, i... read more 

Cognitive Radio for Satellite TT & C System: A General Dataset Using Software-defined Radio.

Scientific data
The rapid advancement of satellite communication systems necessitates the integration of cognitive radio technologies to ensure system adaptability. However, existing public datasets are predominantly centered on terrestrial signal features, severely... read more 

Machine-learning emergent constraints on surface albedo feedback over Arctic land regions.

Nature communications
Surface albedo feedback (SAF) amplifies warming in northern high latitudes, affecting the Arctic climate system, ecosystems, infrastructure, and global trade routes. However, Earth system models (ESMs) exhibit large uncertainties in SAF projections, ... read more 

Deep learning enable precision authentication of seasonal and processing signatures in tieguanyin tea.

NPJ science of food
Authenticating specialty tea products remains a critical challenge in premium food markets, yet current analytical approaches are constrained by limited reproducibility and susceptibility to instrumental variation. Here, we present a deep learning fr... read more 

A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors.

Scientific data
This Data Descriptor presents a fully open, multi-modal dataset for estimating vertical ground reaction forces (vGRF) from consumer-grade Apple Watch sensors with laboratory force plate ground truth. Ten healthy adults (aged 26-41 years) performed fi... read more 

Development of a machine learning model using structured and unstructured features for predicting surgery among patients with carpal tunnel syndrome: development and validation.

Scientific reports
Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy and often requires surgery when symptoms persist. However, identifying patients requiring surgery remains challenging. This study aimed to develop a predictive model for surgery in... read more 

Artificial intelligence and image processing framework for automated airway invasion detection and residue classification from swallowing endoscopy.

Scientific reports
Fiberoptic endoscopic evaluation of swallowing (FEES) is a widely used instrumental method for dysphagia, but its interpretation depends on lighting and evaluator experience. This study developed and validated a framework artificial intelligence (AI)... read more 

Tripleknock: predicting lethal effect of three-gene knockout in bacteria by deep learning.

Scientific reports
Investigating the lethal effect of multi-gene knockout is essential for discovering novel antibiotic targets and metabolic engineering. Unlike single genes or gene pairs, three-gene combinations involve more intricate interactions, making experimenta... read more 

Stampede detection and crowd analysis using CNN-LSTM and farneback optical flow.

Scientific reports
Stampede incidents in densely populated environments remain a critical challenge for public safety, resulting in severe casualties and significant disruption. This paper presents a novel, data-driven framework for automated stampede detection and cro... read more