Artificial Intelligence Medical Compendium

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

Showing 23,241 to 23,250 of 217,176 articles

Stochastic-Sampling-Based Event-Triggered Control for Switching Reaction-Diffusion Neural Networks.

IEEE transactions on cybernetics May 4, 2026
This article addresses the issue of multiasynchronous time-space sampled-data control (SDC) for switching reaction-diffusion neural networks (SRDNNs) under stochastic sampling. Unlike the well-known transition probabilities, sojourn probabilities (SP... read more 

Addressing Structural Distribution Shift in Explanations for Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence May 4, 2026
Graph Neural Networks (GNNs) are essential for processing graph-structured data and have wide applications in critical domains. The increasing use of GNNs in high-stakes scenarios requires robust explainability to ensure trust and transparency in dec... read more 

Elastic Multi-Gradient Descent for Parallel Continual Learning.

IEEE transactions on pattern analysis and machine intelligence May 4, 2026
Learning a single shared model across multiple tasks is a long-standing goal in machine learning, traditionally addressed through Multi-Task Learning (MTL) or Serial Continual Learning (SCL). However, MTL assumes fixed task availability, limiting ada... read more 

Screening macrophage polarization genes in spinal cord injury as therapeutic targets.

PloS one May 4, 2026
Macrophage polarization correlates strongly with the progression and prognosis of spinal cord injury (SCI), yet the therapeutic potential of macrophage polarization-related genes (MPRGs) in SCI remains unexplored. This study identified hub genes asso... read more 

Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.

PLoS computational biology May 4, 2026
BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unclear. MATERIALS AND METHODS: We first analyzed the incidence of SO using the CHARLS database. We ide... read more 

Randomized controlled trial comparing AI-assisted digital and conventional orthodontics: Superior PAR reduction and occlusal outcomes.

PloS one May 4, 2026
BACKGROUND: Advances in digital orthodontics and artificial intelligence (AI) planning have the potential to enhance treatment precision, but randomized evidence based on the Peer Assessment Rating (PAR) index remains limited. METHODS: In this single... read more 

Automated counting of prostate cell types with image processing and machine learning.

PloS one May 4, 2026
Traditional cell counting in clinical and research settings often relies on hemocytometry, a manual technique that is labor-intensive and prone to human error. These limitations in precision and throughput can hinder the development of effective diag... read more 

Research on path planning algorithms for Crawler transport robots in complex tunnels.

PloS one May 4, 2026
To meet the demand for efficient and safe underground material transportation in the intelligent construction of coal mines, addressing the unstructured environmental characteristics of mine roadways, this study proposes an improved path planning alg... read more 

Reducing annotation burden in medical imaging with ADGNET: A semi-supervised deep learning strategy.

PloS one May 4, 2026
We propose ADGNET, a semi-supervised framework for Alzheimer's disease (AD) diagnosis that jointly optimizes image reconstruction and classification through shared feature representations. The architecture integrates a residual backbone with attentio... read more 

The recognition method of external force damage sources vibration signals based on LSTM-CNN-CatBoost-GSSSA.

PloS one May 4, 2026
Underground All-Dielectric Self-Supporting (ADSS) optical cables in urban areas are frequently compromised by external disturbances such as construction activities and human excavation, posing a serious threat to power grid security. Current single-a... read more 
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