Artificial Intelligence Medical Compendium

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

Showing 60,981 to 60,990 of 228,300 articles

The SynMall resource for characterizing the functional impact of synonymous variation.

Genome research Jan 16, 2026
Synonymous single-nucleotide variants (sSNVs) are increasingly recognized as contributors to disease, yet existing variant annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed t... read more 

Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
The core of mining point of interest (POI) data is to learn the user preference representation. However, existing POI sequence learning methods often serve downstream tasks in an end-to-end manner. It lacks the ability to support multiple downstream ... read more 

Small-molecule fluorescent probes for the aminergic GPCRs - What new tool compounds do we have post-2014 and what can they do?

European journal of medicinal chemistry Jan 16, 2026
Aminergic G protein-coupled receptors (GPCRs) are heavily involved in the physiological functions of the human body and represent prominent drug targets for numerous diseases. Despite extensive work over the years, knowledge gaps persist as not all a... read more 

Comparative analysis of machine learning algorithms for predicting stereotactic coordinates of the centromedian nucleus.

Journal of neurosurgery Jan 16, 2026
OBJECTIVE: Deep brain stimulation (DBS) of the centromedian nucleus (CM) of the thalamus is a promising treatment for drug-resistant epilepsy, Tourette syndrome, disorders of consciousness, and chronic pain, particularly when other surgical options a... read more 

EEG-to-gait decoding via phase-aware representation learning.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
Accurate decoding of lower-limb motion from EEG signals is essential for advancing brain-computer interface (BCI) applications in movement intent recognition and control. This study presents NeuroDyGait, a two-stage, phase-aware EEG-to-gait decoding ... read more 

DSA-Diff: Dynamic schedule alignment for training-Inference consistent modality translation in x-prediction diffusion model.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
For modality translation tasks, diffusion models based on x-prediction offer faster and more accurate image generation compared to traditional ϵ-prediction. However, they often suffer from training-inference inconsistency (TII), which arises from a m... read more 

Graph-Agnostic Linear Transformers.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown promising performance due to the integration of local graph structures with global attention mechanisms. However, the complex attention functions and th... read more 

Towards open-set myoelectric gesture recognition via dual-perspective inconsistency learning.

Computer methods and programs in biomedicine Jan 16, 2026
BACKGROUND AND OBJECTIVE: Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement rehabilitation. However, accurately recognizing... read more 

Substrate-mediated trade-offs between pollutant removal efficiency and ecological risks in constructed wetlands treating multi-antibiotic wastewater.

Water research Jan 16, 2026
The environmental dissemination of antibiotic resistance genes (ARGs) is a cornerstone of the One Health crisis, linking human, animal, and environmental health. Engineered ecosystems, such as constructed wetlands (CWs), are critical for water purifi... read more 

Dual-representation structural MRI classification of psychiatric disorders using deep learning and large language models.

Psychiatry research. Neuroimaging Jan 16, 2026
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-representation stru... read more 
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