Artificial Intelligence Medical Compendium

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

Showing 48,101 to 48,110 of 224,199 articles

Efficient multi-agent policy adaptation with Bayesian policy reuse and view-invariant contrastive awareness.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2026
Bayesian Policy Reuse (BPR), a framework that selects from a library of pre-trained policies via Bayesian belief updates, enables efficient response to non-stationary opponents who suddenly switch strategies. However, most previous work is restricted... read more 

IGMNN: a diagnosis method for vertical root fractures based on an information gated memory neural network.

Scientific reports Feb 21, 2026
In medical image analysis, acquiring large-scale labeled datasets remains challenging, and images often exhibit high overall similarity that requires expert-level interpretation, differing substantially from natural image processing. To address these... read more 

CMT-Unet: leveraging stage-wise hybrid framework for enhanced accuracy and efficiency in medical image segmentation.

Scientific reports Feb 21, 2026
Achieving high-precision pixel-level segmentation in medical imaging necessitates both the preservation of fine-grained local details and the modeling of long-range contextual dependencies; nevertheless, convolutional, Transformer, and naive hybrid a... read more 

Exact feature collisions in neural networks.

Scientific reports Feb 21, 2026
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A comparative analysis of data-driven models for breast cancer survival prediction.

Scientific reports Feb 21, 2026
Breast cancer is the most frequently diagnosed cancer among women and persists as a societal problem worldwide. It remains a leading cause of cancer associated morbidity and mortality, specifically in low- and middle-income countries where access to ... read more 

Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction.

Scientific reports Feb 21, 2026
Accurate streamflow prediction plays a vital role in water management and flood mitigation. However, conventional deep learning models often fail to simultaneously capture short-term variability and long-term dependencies, particularly in univariate ... read more 

Automated assessment of technological and financial drivers of greenhouse gas reduction in sustainable renewable energy systems.

Scientific reports Feb 21, 2026
This study analyzes the capacity of renewable energy facilities to reduce greenhouse gas emissions using feature-based analysis approaches. The main goal is to identify the technological, economic, and environmental elements that most substantially i... read more 

Comparative study of wavelet transform and Fourier domain filtering for medical image denoising.

Scientific reports Feb 21, 2026
Image denoising is a crucial preprocessing step in medical imaging. While deep learning methods offer state-of-the-art performance, their computational complexity and data requirements can be prohibitive. Traditional transform-domain methods, particu... read more 

From graph theory to chemoinformatics: modified bond-based indices and a hypothesis-driven multi-task QSAR/QSPR benchmark.

Scientific reports Feb 21, 2026
Graph-theoretic degree-based descriptors play a central role in chemoinformatics and QSPR/QSAR modelling, yet most classical indices either focus purely on vertex degrees or treat bond contributions in a purely multiplicative way. In this work we int... read more 

Human and environmental controls on soil contamination in a dust-prone region revealed by random forest and Shapley additive explanations analysis.

Scientific reports Feb 21, 2026
Accurate prediction of the spatial distribution of potentially toxic elements (PTEs) and identification of the most important environmental drivers are essential for reducing their adverse effects on human health and the environment. In this regard, ... read more 
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