Artificial Intelligence Medical Compendium

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

Showing 54,231 to 54,240 of 225,930 articles

Finite-Time Admittance Control for Adaptive Compliance of a Soft Actuator of Robotic Gastric Simulator.

Soft robotics Feb 4, 2026
To test food, drug formulations, and medical devices, extensive research has focused on developing in vitro gastric simulators. Existing simulators range from rigid mechanical systems to flexible polymer-based designs, each with distinct limitations ... read more 

Gender-related facilitators and barriers to participation in research on aging using fuzzy cognitive mapping.

Neurobiology of aging Feb 3, 2026
In the context of cognitive neuroscience research on aging, older women are often overrepresented in observational research, whereas men are overrepresented in clinical trials. Factors underlying the selection bias between and across genders in resea... read more 

Morphological classification of Schizochytrium and mutagenic selection of high-oil-producing strains based on deep learning.

Microbiological research Feb 3, 2026
As a natural producer of omega-3 fatty acids, Schizochytrium demonstrates exceptional cell density and docosahexaenoic acid (DHA) production efficiency, establishing its status as a microbial platform of industrial significance. However, the absence ... read more 

DisSubFormer: A subgraph transformer model for disease subgraph representation and comorbidity prediction.

Computational biology and chemistry Feb 3, 2026
Disease comorbidity-the co-occurrence of multiple diseases in the same individual-is increasingly prevalent and poses major clinical and biological challenges. Computational approaches for studying disease relationships and predicting comorbidity hav... read more 

Who would you save? Children and mothers' life-or-death decisions.

Cognition Feb 3, 2026
The principle of equal human worth is widely endorsed, yet real-world situations often require trade-offs. This raises a fundamental question: Do individuals truly value all human lives equally from an early age, or do they differentiate based on sal... read more 

Early heart-rate trajectory phenotypes predict short-term mortality in critically ill patients: a dynamic time-warping cluster analysis.

Journal of clinical monitoring and computing Feb 3, 2026
UNLABELLED: Heart rate (HR) reflects illness severity in critically ill patients, but the prognostic significance of early HR changes is unclear. We aimed to identify HR trajectory phenotypes during the first 24 h of ICU admission and assess their as... read more 

SPD-Net: A semantic partitioned transformer with dynamic graph network for improved skeleton-based gait recognition.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026
Gait recognition has gained prominence as a biometric modality owing to its unobtrusive and non-invasive nature. Existing methods primarily rely on silhouette-based representations, making them sensitive to variations in clothing, occlusion, and back... read more 

Decomposition and transfer of individual Q-values for decision-making of multi-agent reinforcement learning with communication.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026
In partially observable multi-agent tasks, communication modules need to be trained to supplement information for decision-making, and decision-making modules need to be trained to analyze received information. This leads to their coupling during the... read more 

Multiple interpretation ensemble distillation for graph neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026
Existing graph knowledge distillation methods suffer from limited absorption of the teacher's "dark knowledge" because they rely on simple logit alignment, which often causes overfitting or incomplete capture of underlying patterns. Additionally, rel... read more 

BAED: A new paradigm for few-shot graph learning with explanation in the loop.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026
The challenges of training and inference in few-shot environments persist in the area of graph representation learning. The quality and quantity of labels are often insufficient due to the extensive expert knowledge required to annotate graph data. I... read more 
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