Artificial Intelligence Medical Compendium

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

Showing 46,351 to 46,360 of 224,055 articles

Critical node identification and resilience analysis against cascading failures.

PloS one Feb 27, 2026
Ensuring the robustness and resilience of critical infrastructure networks such as transportation and energy systems is a core security challenge for modern societies. Vulnerabilities in these networks often concentrate on a small number of critical ... read more 

Explainable AI for gait speed analysis from multimodal data fusion.

PloS one Feb 27, 2026
Gait speed analysis is vital for applications in healthcare, rehabilitation, human-robot interaction, and autonomous systems, necessitating robust methods to address its complexity. This study introduces an advanced framework for gait speed classific... read more 

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study.

PloS one Feb 27, 2026
BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection to critical illness with multiorgan involvement. While many patients recover fully, others develop long-COVID, a heterogeneous condition marked by pers... read more 

Optimized fault-tolerant data processing module for high-reliability CNN accelerator.

PloS one Feb 27, 2026
Convolutional neural networks have become the foundation of image-inference tasks, with systolic array architectures providing enhanced computational performance and efficiency. However, the numerous processing elements (PEs) involved introduces sign... read more 

NPSVC++: A Representation Learning Framework for Nonparallel Classifiers.

IEEE transactions on neural networks and learning systems Feb 27, 2026
This article focuses on a specific family of classifiers called nonparallel support vector classifiers (NPSVCs). Different from typical classifiers, the training of an NPSVC involves the minimization of multiple objectives, resulting in the potential... read more 

Heuristic Knowledge-Driven Spatio-Temporal Forecasting via Multigraph.

IEEE transactions on neural networks and learning systems Feb 27, 2026
The importance of precise long-term forecasting in practical applications continues to rise. Extensive scenarios, including parking resource prediction and environmental quality monitoring, rely significantly on LSTF's accurate spatio-temporal foreca... read more 

MDDTA: A Drug Target Binding Affinity Prediction Method Based on Molecular Dynamics Simulation Data Enhancement.

IEEE journal of biomedical and health informatics Feb 27, 2026
Deep learning-based methods for drug target binding affinity (DTA) prediction are improving the efficien cy of drug screening, but some limitations persist in current methodologies. Notably, prevailing models predominantly rely on static structural d... read more 

Liquid-Sequencer: A Lightweight Liquid Neural Network for Real-Time Fetal Congenital Heart Disease Diagnosis.

IEEE journal of biomedical and health informatics Feb 27, 2026
Congenital heart disease (CHD) is the leading cause of neonatal mortality worldwide, making early and accurate diagnosis crucial. In resource-constrained regions, standardized ultrasound screening remains difficult due to the shortage of specialized ... read more 

NNP-NET: Accelerating t-SNE Graph Drawing for Large Static and Dynamic Graphs by Neural Networks.

IEEE transactions on visualization and computer graphics Feb 27, 2026
Among recent graph drawing (GD) methods, tsNET creates high quality layouts but suffers from a very high runtime due to its underlying reliance on the t-SNE projection technique. We address this problem by presenting NNP-NET, a method that adapts NNP... read more 

DoC-Informer: Automated Discrimination of Disorders of Consciousness under Adaptive EEG Settings.

IEEE transactions on bio-medical engineering Feb 27, 2026
OBJECTIVE: Disorders of consciousness (DoC) diagnosis critically depends on accurate state discrimination to guide treatment and prognosis. Current EEG-based techniques face challenges of incomplete electrode coverage and manual feature reliance, due... read more 
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