Artificial Intelligence Medical Compendium

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

Showing 4,681 to 4,690 of 174,202 articles

Intelligent resource allocation in internet of things using random forest and clustering techniques.

Scientific reports Aug 20, 2025
The Internet of Things has proliferated, and the number of devices integrated into intelligent networks has made resource management and allocation one of the most critical challenges. The intrinsic constraints of IoT devices, such as energy consumpt... read more 

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.

Scientific data Aug 20, 2025
Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancement... read more 
Humans Magnetic Resonance Imaging Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms

State of science: New frontiers in inclusive design and digital health intervention.

Ergonomics Aug 20, 2025
Inclusive design has evolved as a design approach and a research topic in the last three decades. Despite its evolution, there are new frontiers to consider in the context of two phenomena: global ageing populations and the digital transition of serv... read more 

The role of phytoplankton in structuring global oceanic dissolved organic carbon pools.

Nature communications Aug 20, 2025
Phytoplankton-derived dissolved organic carbon (DOC) is a major pathway for atmospheric CO transfer to long-lived oceanic DOC reservoirs. Yet, current models rarely accounted for its molecular and taxonomic heterogeneity across growth seasons. Here, ... read more 
Machine Learning Carbon Seasons Phytoplankton Seawater Diatoms Chlorophyll A Oceans and Seas

Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis.

Translational psychiatry Aug 20, 2025
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident... read more 
Humans Machine Learning Female Risk Factors Male Risk Assessment Anxiety China Depression Adolescent Child Adolescent Behavior Self-Injurious Behavior Entropy Attention Deficit Disorder with Hyperactivity Loneliness Bullying

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f... read more 
Humans Algorithms Brain Neoplasms ROC Curve Imaging, Three-Dimensional Glioma Support Vector Machine Magnetic Resonance Imaging

Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.

Scientific reports Aug 20, 2025
In deregulated power markets (DPMs), transmission-line congestion has become more severe and frequent than in traditional power systems. This congestion hinders electricity markets from operating in normal competitive equilibrium. The independent sys... read more 

Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog... read more 
Humans Machine Learning Female Young Adult Adult Male Cognition Emotions Memory, Short-Term Attention Pupil Arousal

New chemical average model for molecular simulations of the asphalt system.

Physical chemistry chemical physics : PCCP Aug 20, 2025
This study refined the Brown-Ladner (B-L) method and combined it with elemental analysis to construct average molecular structure models of virgin asphalt, aiming to achieve more precise molecular simulations of asphalt materials. The chemical struct... read more 
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