Artificial Intelligence Medical Compendium

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

Showing 991 to 1,000 of 161,325 articles

FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval

arXiv Jul 20, 2025
Patent examiners and inventors face significant pressure to verify the originality and non-obviousness of inventions, and the intricate nature of patent data intensifies the challenges of patent retrieval. Therefore, there is a pressing need to dev... read more 
Information Retrieval Machine Learning

Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division

arXiv Jul 20, 2025
We study the fair division of indivisible items and provide new insights into the EFX problem, which is widely regarded as the central open question in fair division, and the PMMS problem, a strictly stronger variant of EFX. Our first result constr... read more 
Computer Science and Game Theory Artificial Intelligence Data Structures and Algorithms

Proactive process evaluation of precision medicine platforms: a roadmap.

BMJ health & care informatics Jul 20, 2025
BACKGROUND: Precision and genomic medicine have significant potential to improve population health. However, despite rapid technological development and increasing data complexity, practical applications of precision medicine remain limited. There is... read more 
Humans Precision Medicine Genomics Process Assessment, Health Care

Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP.

Scientific reports Jul 20, 2025
Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more erratic and complex, and have an influx of structured and unstructured data. Conventional practices of supply chain management (SCM) cannot overcome real-t... read more 

AI, originality, and attribution: Researchers' perspectives on distinguishing contributions.

Accountability in research Jul 20, 2025
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding ... read more 

Optimized sequential classification models for mild cognitive impairment screening based on handwriting and speech data.

Journal of Alzheimer's disease : JAD Jul 20, 2025
BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, playing a pivotal role in the early diagnosing Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, current unimodal approaches for ... read more 

Dual-Dielectric-Layer-Based Iontronic Pressure Sensor Coupling Ultrahigh Sensitivity and Wide-Range Detection for Temperature/Pressure Dual-Mode Sensing.

Advanced materials (Deerfield Beach, Fla.) Jul 20, 2025
Iontronic pressure sensors are widely used in human motion monitoring and human-machine interactions owing to their high sensitivity, wide measurement range, and excellent resolution. However, conventional dielectric layer designs often involve compl... read more 

Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach.

Scientific reports Jul 20, 2025
Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress of AMI involves immune cell infiltration. However, suitable clinical diagnostic biomarkers and the roles of immune cells in AMI remain unknown. Three ... read more 
Humans Machine Learning Biomarkers Gene Expression Profiling ROC Curve Gene Regulatory Networks Databases, Genetic Mast Cells Myocardial Infarction

ACME: Adaptive Customization of Large Models via Distributed Systems

arXiv Jul 20, 2025
Pre-trained Transformer-based large models have revolutionized personal virtual assistants, but their deployment in cloud environments faces challenges related to data privacy and response latency. Deploying large models closer to the data and user... read more 
Distributed, Parallel, and Cluster Computing Artificial Intelligence C.2.4; I.2.6

Application-Specific Component-Aware Structured Pruning of Deep Neural Networks via Soft Coefficient Optimization

arXiv Jul 20, 2025
Deep neural networks (DNNs) offer significant versatility and performance benefits, but their widespread adoption is often hindered by high model complexity and computational demands. Model compression techniques such as pruning have emerged as pro... read more 
Machine Learning Artificial Intelligence
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