Artificial Intelligence Medical Compendium

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

Showing 56,401 to 56,410 of 226,846 articles

Predicting energy prices and renewable energy adoption through an optimized tree-based learning framework with explainable artificial intelligence.

Scientific reports Jan 30, 2026
This research offers a comprehensive analysis of global energy consumption, focusing on predicting two key metrics: the Energy Price Index and the Renewable Energy Share. The study employs advanced Machine Learning (ML) regression techniques, all fur... read more 

Balancing noise reduction and neural signature preservation in EEG biometrics.

Scientific reports Jan 30, 2026
EEG-based subject identification is an emerging biometric approach with strong potential for secure authentication, but reliable performance requires optimisation of the entire processing pipeline. The key difficulty lies in improving signal quality ... read more 

Multimodal deep learning for laryngeal squamous cell carcinoma staging using CT and laryngoscopy.

European radiology Jan 30, 2026
OBJECTIVES: To develop and validate a multimodal deep learning model integrating clinical data, contrast-enhanced CT, and laryngoscopic images for differentiating early-stage (I-II) from advanced-stage (III-IV) laryngeal squamous cell carcinoma (LSCC... read more 

Impact of authoritative and subjective cues on large language model reliability for clinical inquiries: an experimental study.

Scientific reports Jan 30, 2026
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Physics-guided GNN-transformer model for multi-scale fatigue life prediction of concrete track slabs in high-speed railways.

Scientific reports Jan 30, 2026
This study establishes a novel machine learning paradigm integrating physical mechanisms. It aims to address the limitations of traditional methods in predicting the concrete fatigue life of high-speed railway (HSR) track slab, particularly their ins... read more 

Assessing personality using zero-shot generative AI scoring of brief open-ended text.

Nature human behaviour Jan 30, 2026
Contemporary personality assessment relies heavily on psychometric scales, which offer efficiency but risk oversimplifying the rich and contextual nature of personality. Recognizing these limitations, this study explores the use of commercially avail... read more 

Machine learning prediction of food addiction in university students using demographic, anthropometric and personality traits.

Scientific reports Jan 30, 2026
People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Research shows that certain personality types expose people to risky eating behaviors. Given the complexity of nutrition-related factors and the limitat... read more 

Computational intelligence applications in predicting energy consumption, greenhouse gas emissions, and drying performance of hybrid infrared dryer.

Scientific reports Jan 30, 2026
Efficient dehydration of heat-sensitive crops remains a major challenge due to the trade-off between drying time, energy demand, and product quality. This study investigated the hybrid infrared-hot air drying of Moringa oleifera leaves in a continuou... read more 

deepmriprep: voxel-based morphometry preprocessing via deep neural networks.

Nature computational science Jan 30, 2026
Voxel-based morphometry (VBM), a popular approach in neuroimaging research, uses magnetic resonance imaging data to assess variations in the local density of brain tissue and to examine its associations with biological and psychometric variables. Her... read more 

A clinically applicable and generalizable deep learning model for anterior mediastinal tumors in CT images across multiple institutions.

Scientific reports Jan 30, 2026
Rare diseases are often difficult to diagnose, and their scarcity also makes it challenging to develop deep learning models for them due to limited large-scale datasets. Anterior mediastinal tumors-including thymoma and thymic carcinoma-represent suc... read more 
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