Artificial Intelligence Medical Compendium

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

Showing 41,921 to 41,930 of 223,853 articles

Reimagining critical thinking in the age of AI: Implications for nursing education and practice.

Nurse education today Mar 13, 2026
The rapid integration of generative artificial intelligence (GenAI) into undergraduate nursing education has prompted significant debate regarding its impact on the development of critical reasoning, inquiry skills, and clinical judgement. While some... read more 

The Future of Artificial Intelligence in Emergency Medical Services by 2030: An International Consensus Report.

Journal of the American College of Emergency Physicians open Mar 13, 2026
OBJECTIVES: Artificial intelligence (AI) is an application of digital technology with considerable potential to improve quality, safety, and access; however, research on the future of AI in the health-care system and specifically emergency medical se... read more 

Advanced artificial intelligence vs simpler models for 1-year death prediction among patients receiving hemodialysis.

JAMIA open Mar 13, 2026
OBJECTIVES: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure. MATERIALS AND METHODS: We compared logistic regress... read more 

TransDTAP: A multimodal transformer architecture for drug-target affinity prediction using sequence and biochemical properties.

Computational biology and chemistry Mar 13, 2026
Accurate drug-target affinity (DTA) prediction is essential for virtual screening and early-stage drug discovery. We propose TransDTAP, a multimodal Transformer-based architecture that integrates ligand SMILES sequences, protein amino-acid sequences,... read more 

M-Net: Multiscale hierarchical fusion with dual natural patch attention for spatial-Temporal time series forecasting.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2026
Spatial-temporal time series forecasting holds significant application value in scenarios such as grid-based weather forecasting and video prediction. However, existing methods often suffer from excessive loss of low-level textures and edge details d... read more 

Stability of stochastic impulsive coupled systems with impulse-disturbed links and Markov switching via dynamic event-triggered control.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2026
Novel results regarding the stability of stochastic impulsive coupled systems (ICSs) with impulse-disturbed links and Markov switching via dynamic event-triggered control (ETC) are presented. Distinct from existing studies on ICSs, impulses not only ... read more 

An approximation theory perspective on machine learning.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2026
A central problem in machine learning is often formulated as follows: Given a dataset [Formula: see text] , which is a sample drawn from an unknown probability distribution, the goal is to construct a functional model f such that f(x) ≈ y for any (x,... read more 

A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings.

Scientific reports Mar 13, 2026
The global education system comprises many technical and non-technical institutions. The selection of an institute plays a very important role in shaping the career of a student. With such a massive number of choices out there, the decision of which ... read more 

An intelligent computational framework combining neural networks with complex Pythagorean fuzzy FUCA for airspace capacity evaluation and traffic forecasting.

Scientific reports Mar 13, 2026
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Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention.

Scientific reports Mar 13, 2026
The incidence of spinal diseases is rising and affecting younger people, making early and accurate diagnosis based on medical imaging crucial for treatment. However, traditional manual segmentation and measurement suffer from issues such as judgment ... read more 
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