Artificial Intelligence Medical Compendium

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

Showing 40,951 to 40,960 of 223,737 articles

HIMO: Cross-Arbitrary-Modality Image Invariant Feature Transform with Hierarchical Intrinsic Major Orientation.

IEEE transactions on pattern analysis and machine intelligence Mar 17, 2026
Invariant feature extraction is a critical challenge in intelligent image processing, particularly with the rapid advancement of multi-source/modal imaging. Cross-modal matching has attracted considerable attention, yet current studies primarily focu... read more 

Rethinking Spectral Graph Neural Networks With Spatially Adaptive Filtering.

IEEE transactions on neural networks and learning systems Mar 17, 2026
Whilst spectral graph neural networks (GNNs) are theoretically well-founded in the spectral domain, their practical reliance on polynomial approximation implies a profound linkage to the spatial domain. As previous studies rarely examine spectral GNN... read more 

Adaptive Niching-Based Gradient-Accelerated Differential Evolution for High-Dimensional Nonconvex Optimization.

IEEE transactions on neural networks and learning systems Mar 17, 2026
Nonconvex optimization presents significant challenges in many fields, particularly in training deep neural networks (DNNs), where poor local minima can degrade generalization-especially with limited data. High-dimensional nonconvex optimization pres... read more 

Distillation-SAM: Knowledge Distillation Based Auto-prompt Embedding Learning for Surgical Image Segmentation.

IEEE transactions on medical imaging Mar 17, 2026
Surgical image segmentation is vital for various stages of surgical procedures, from preoperative planning to real-time navigation and postoperative assessment. Despite advances in deep learning, current surgical image segmentation methods remain lim... read more 

Lithium battery fault diagnosis by integrating improved EMD decomposition algorithm and 2DCNN.

PloS one Mar 17, 2026
With the development of science and technology, lithium batteries, as important energy storage devices, have become a research hotspot for fault diagnosis. In response to the shortcomings of traditional fault diagnosis techniques in processing comple... read more 

Explaining urban street perception inequities between residents and tourists using interpretable machine learning.

PloS one Mar 17, 2026
Understanding how different social groups perceive urban streets is essential for inclusive and sustainable urban design. This study proposes an interpretable and scalable machine learning framework that integrates Street View Images with subjective ... read more 

Evaluation of a commercial AI-assisted cell counting software for dopaminergic neurons across species.

PloS one Mar 17, 2026
Quantification of dopaminergic neurons in the substantia nigra pars compacta (SNc) of animal models is important for understanding the pathogenesis of Parkinson's disease (PD). However, conventional manual cell counting method requires the time and e... read more 

Identity interweaving, act boundaries, illusion and reality interweaving: A study of visual narratives of scientists and citizen scientists through AI.

PloS one Mar 17, 2026
The rise of generative artificial intelligence (AI) is transforming human-computer interaction, reshaping communication methods and altering public perceptions of science. This shift challenges traditional scientific authority, especially as citizen ... read more 

Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts.

PLoS genetics Mar 17, 2026
Antifungal drug resistance is a major challenge in fungal infection management. Numerous genomic changes are known to contribute to acquired drug resistance in clinical isolates of specific pathogens, but whether they broadly explain natural resistan... read more 

Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction.

PloS one Mar 17, 2026
Runoff prediction is crucial for water resource allocation and hydropower planning. To address low accuracy and uncertainty in runoff forecasting, this study proposes a framework integrating the Information Acquisition Optimizer (IAO), Variational Mo... read more 
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