Artificial Intelligence Medical Compendium

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

Showing 59,861 to 59,870 of 228,014 articles

A Framework Integrating Single-Cell Metallomic Data in Health Effect Analysis via Quantile Features and Machine Learning.

Environmental science & technology Jan 20, 2026
Heavy and essential metals coexist in a cell, collectively participate in cellular biological processes, and lead to overall health consequences. However, current analytical strategies cause information loss when using aggregated features and are una... read more 

Machine Learning Assisted Prediction of Recovered Angle of Carbon Fiber Reinforced Shape Memory Epoxy Carbon Composites.

Macromolecular rapid communications Jan 20, 2026
Shape memory polymers and their composites are promising smart materials for a wide range of applications associated with smart material-based actuators. Carbon fiber-reinforced shape memory epoxy composites can enable electroactive shape recovery vi... read more 

Unbiased clustering of acute-on-chronic liver failure patients using machine learning in a real-world ICU cohort.

Nature communications Jan 20, 2026
Acute-on-chronic liver failure is a complex condition with varied definitions, complicating risk stratification and targeted management. We apply unsupervised clustering to data from 1,256 patients with acute-on-chronic liver failure as defined by th... read more 

A detachable crawling robotic hand.

Nature communications Jan 20, 2026
The human hand is often viewed as the pinnacle of dexterity, and many robotic hands adopt anthropomorphic designs, while others pursue non-anthropomorphic forms for structural balance or task optimization. However, human-like asymmetry and reliance o... read more 
Humans Biomechanical Phenomena Male Hand Strength Robotics Equipment Design Hand Fingers

Large-scale serum N-glycomics tracks N-glycosylation dynamics in hepatocellular carcinoma progression and enables early diagnosis.

Nature communications Jan 20, 2026
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, yet the role of N-glycosylation in its pathogenesis remains unclear. We applied a multi-center, large-cohort N-glycomics strategy combining isomer-specific glycan profiling with m... read more 

Metabolomics aided by machine learning decodes adaptive remodeling of Bacillus biofilms in response to pasteurization stress.

NPJ science of food Jan 20, 2026
The popularity of low-temperature dairy products is challenged by Bacillus species, whose heat-resistant spores and biofilms often survive pasteurization. Moreover, heat treatment can paradoxically enhance biofilm formation in some Bacillus spp., a p... read more 

Cost-effectiveness of lung cancer screening: insights from risk stratification, guidelines, and emerging technologies-a systematic review.

NPJ primary care respiratory medicine Jan 20, 2026
Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed at advanced stages. Early detection through screening can significantly reduce mortality, making cost-effectiveness evidence crucial for guiding poli... read more 

Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs.

Scientific reports Jan 20, 2026
High inter-subject variability and the non-stationary nature of EEG signals pose significant challenges for subject-independent Brain-Computer Interfaces (BCIs) leading to poor model generalization. Differences in neural activity patterns, electrode ... read more 
Humans Algorithms Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination

A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes.

Scientific data Jan 20, 2026
The Response Evaluation Criteria in Solid Tumors (RECIST 1.1) protocol is the gold standard for assessing treatment response in oncological clinical trials and routine practice. It requires radiologists to review and select appropriate target lesions... read more 

Machine learning prediction for AML based on 3D genome selected circRNA.

NPJ systems biology and applications Jan 20, 2026
Acute myeloid leukemia (AML) is a clinically aggressive hematologic malignancy driven by complex genetic and epigenetic aberrations. Circular RNAs (circRNAs), characterized by covalently closed structures and exceptional stability, have emerged as pr... read more 
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