Artificial Intelligence Medical Compendium

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

Showing 25,981 to 25,990 of 217,905 articles

Regional drought forecasting in data-scarce regions through a novel cluster-based liquid neural network.

Scientific reports
The Global Drought Monitor (GDM) provides real-time information about drought to enhance drought forecasting; however, applying complex machine learning algorithms across large spatial domains is computationally challenging. This study presents a nov... read more 

Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence.

Cardiovascular diabetology
Cardiovascular-kidney-metabolic (CKM) syndrome is an emerging clinical entity that highlights the complex, bidirectional interplay among cardiovascular disease, chronic kidney disease, and metabolic disorders, representing a substantial and growing g... read more 

ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization.

Plant methods
BACKGROUND: Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives. This applies particularly to plant ti... read more 

GABA+-Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework.

Magnetic resonance in medicine
PURPOSE: Motivated by the need to improve GABA+-edited magnetic resonance spectroscopy (MRS) quality, we developed a three-module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to d... read more 

AI, Aging Well, and Accessible Digital Games: The Supplemental Role of AI in Accessible Game Design for Older Adults.

The Gerontologist
As the population continues to age, and gaming continues to grow as a hobby for older people, heterogeneity among older adult gamers is increasing. We argue that traditional game-based accessibility features, like simplified input schemes, redundant ... read more 

GR2ST: Spatial Transcriptomics Prediction based on Graph-Enhanced Multimodal Contrastive Learning.

Bioinformatics (Oxford, England)
MOTIVATION: Spatial transcriptomics techniques capture gene expression data and spatial coordinates, while simultaneously correlating them with tissue section images. This advantage makes Spatial transcriptomics data highly valuable for research, suc... read more 

DeepRelaxo: Fast Mono-Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self-Supervised Deep Learning.

Magnetic resonance in medicine
PURPOSE: We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi-echo gradient echo (ME-GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scan... read more 

Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraine.

Pain medicine (Malden, Mass.)
BACKGROUND: Chronic migraine is a debilitating disorder characterized by central sensitization and impaired habituation. Although OnabotulinumtoxinA (OnabotA) is an established preventive treatment, its precise mechanism of action and predictors of t... read more 

Machine Learning-Guided Synthetic Microbial Communities Enable Functional and Sustainable Degradation of Persistent Environmental Pollutants.

Environmental science & technology
Persistent environmental pollutants require diverse microbial metabolic capabilities for effective degradation. While naturally occurring consortia or single strains often fall short in efficiency, synthetic microbial communities (SynComs) hold great... read more