Artificial Intelligence Medical Compendium

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

Showing 38,291 to 38,300 of 223,469 articles

Data Representativeness with Hyperdimensional Computing.

Journal of imaging informatics in medicine
Increased utilization of data-driven approaches, such as artificial intelligence models, has drawn scrutiny of the datasets used to develop and evaluate such approaches. Dataset assessment methods, however, continue to rely heavily on subjective manu... read more 

Contemporary Indications and Technical Limits of Transoral Laser Microsurgery for Laryngeal Squamous Cell Carcinoma.

Advances in therapy
Transoral laser microsurgery (TOLMS) is an established organ-preserving treatment for early-stage and selected intermediate-stage laryngeal squamous cell carcinoma (SCC). Initially indicated for Tis-T1 lesions, its use has progressively expanded to c... read more 

Toward Robust End-to-End Delay Prediction: A GNN Approach With Routing-Aware Attention and Masked Subgraph Sampling.

IEEE transactions on neural networks and learning systems
The end-to-end delay prediction is critical for intelligent network management, particularly in latency-sensitive and dynamic environments. While recent deep learning (DL) models have shown promising results, their reliance on sequential encoding of ... read more 

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey.

IEEE transactions on neural networks and learning systems
Continual learning (CL) aims to empower machine learning (ML) models to learn continually from new data, while building upon previously acquired knowledge without forgetting. As models have evolved from small to large pretrained architectures, and fr... read more 

Less is More: Infrared and Visible Images Fusion via Semantic-Guided Mixture of Multi-Feature Experts.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Infrared (IR) and visible image fusion (IVIF) has become prevalent in recent years. By leveraging the complementary characteristics of infrared and visible images, we can obtain visually-appealing fused images, which further facilitate subsequent sce... read more 

DeepLMI: Deep Feature Mining with a Globally Enhanced Graph Convolutional Network for Robust lncRNA-miRNA Interaction Prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Interactions between long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) play pivotal roles in gene regulation and disease progression, notably through mechanisms such as competitive miRNA sponging. Accurate identification of lncRNA-miR... read more 

Energy landscape statistics and thermodynamics of a machine-learned model of water.

Proceedings of the National Academy of Sciences of the United States of America
Water's anomalous thermodynamic behavior arises from the presence of intricate hydrogen-bond networks that are highly sensitive to many-body interactions, challenging molecular modeling for decades. The ongoing machine learning revolution has opened ... read more 

Artificial intelligence-based digital transformation and environmental sustainability.

PloS one
AI's rapid growth presents significant potential for enhancing environmental sustainability and driving digital transformation across various sectors. AI applications are scattered, uneven data integration is complex, and defined metrics are lacking,... read more 

Coaching presence as the foundation for the working alliance in AI coaching.

PloS one
Although Human Resources managers have integrated artificial intelligence (AI)-mediated coaching into their practice, the role of traditional coaching elements-especially coaching presence-within these interactions remains underexplored. To examine p... read more