Artificial Intelligence Medical Compendium

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

Showing 36,441 to 36,450 of 223,137 articles

Biologically-inspired semi-supervised semantic segmentation for biomedical imaging.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
We propose a novel bio-inspired two-stage semi-supervised learning approach for training semantic segmentation models based on downsampling-upsampling architectures. The first stage does not use backpropagation. Rather, it exploits the Hebbian princi... read more 

Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs.

Infectious Disease Modelling Apr 1, 2026
This paper introduces a novel stochastic SEIRV model for investigating the spread of the SARS-CoV-2 epidemic using stochastic physics-informed neural networks (S-PINNs). We first prove the global positivity of solutions via Lyapunov functions and Itô... read more 

Hierarchical cross-attention guided deformable registration with multi-level feature fusion for medical images.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
Deformable medical image registration is fundamental for longitudinal diagnosis, surgical planning, and quantitative anatomical analysis, yet achieving accurate and robust alignment remains challenging. Traditional optimization-based methods are comp... read more 

Towards robust deep reinforcement learning-based quantitative trading with neuro-symbolic trend analysis.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
Deep reinforcement learning (DRL) has revolutionized quantitative trading (Q-trading) by achieving decent performance without significant human expert knowledge. Despite its achievements, we observe that the current state-of-the-art DRL models are st... read more 

Privacy emotion recognition in artificial intelligence: Research frontiers, key challenges, and prospects.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
With the arrival of the new wave of artificial intelligence, emotional intelligence has broad application prospects. By quantifying the psychological state of humans through psychophysiological calculations, machines can be endowed with the enhanced ... read more 

Attack-resilient adaptive distributed neurodynamic approach for solving noncooperative games.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
This paper considers noncooperative games operating under adversarial conditions, including both exploratory and causative attacks, where players' dynamics are subject to private inequality constraints and external disturbances. To address this chall... read more 

A spatiotemporal wind power forecasting method based on dual-view graph fusion and dual-granularity residual learning.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
Accurate wind power forecasting for turbine clusters is critical for reliable power system operation. Existing spatiotemporal graph neural network (ST-GNN) methods typically rely on a single static graph representation, which limits their ability to ... read more 

Incubating artificial intelligence initiatives and careers in dermatology.

The Journal of investigative dermatology Apr 1, 2026
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Machine learning based evaluation of CO2 hydrate storage potential in the South China Sea.

Science bulletin Apr 1, 2026
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Efficacy of swine Influenza A virus vaccines on transmission, viral shedding and clinical signs: Systematic review and meta-analysis.

Preventive veterinary medicine Apr 1, 2026
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective of this systematic review and meta-analysis was to quantify the efficacy of swIAV vaccines in pigs, r... read more 
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