Artificial Intelligence Medical Compendium

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

Showing 1,241 to 1,250 of 200,346 articles

Bayesian convolutional front-end based uncertainty-aware hybrid quantum-classical image classification.

Scientific reports Jun 1, 2026
Quantum machine learning on noisy intermediate-scale quantum (NISQ) devices often suffers from noise sensitivity, small-data overfitting, and miscalibrated predictive confidence. We propose an uncertainty-aware hybrid Bayesian quantum neural network ... read more 

CNN-based classifier for automated identification of magnetic states in spin dynamics simulations.

Scientific reports Jun 1, 2026
The identification and classification of different magnetic states are essential for understanding the complex behavior of magnetic systems. Traditional approaches that rely on handcrafted features or manual inspection often fall short, particularly ... read more 

Life prediction model of feedback rod in electro-hydraulic servo valve.

Scientific reports Jun 1, 2026
Metallic elastic elements serve as critical structural components in advanced electro mechanical assemblies, where cyclic loading induces progressive rigidity reduction. Within electro-hydraulic servo valves (EHSV), the feedback mechanism constitutes... read more 

Predicting seismic-induced liquefaction potential of gravelly soils using dynamic penetration case histories.

Scientific reports Jun 1, 2026
As demonstrated by numerous environmental disasters worldwide, many sites have suffered from seismically induced liquefaction, resulting in substantial economic losses. Consequently, there is an urgent need for reliable prediction methods to assess v... read more 

ConvECA-Net: A lightweight convolutional neural network for fault diagnosis of tapered roller bearings.

Scientific reports Jun 1, 2026
The paper focuses on detecting faults in tapered roller bearings to prevent unplanned shutdowns, accidents, and financial losses. Tapered roller bearings are an indispensable component used in mechanical applications, where handling of combined loads... read more 

Investigating the utilization of LIME-enhanced AI and generated data for evaluating the risks associated with radial artery puncture procedures.

Scientific reports Jun 1, 2026
Radial artery puncture, a routine arterial cannulation procedure for perioperative and critical care settings, is limited by high first-attempt failure and hematoma risk under experience-based practice. We aim to develop artificial intelligence (AI) ... read more 

A multi-scale feature fusion gaze estimation model based on convolutional neural network and vision transformer.

Scientific reports Jun 1, 2026
To address ineffective feature fusion and feature loss in gaze estimation under unconstrained environments, this study proposes a multi-scale feature fusion model, CAF-ViT (Cross-Attention Fusion Vision Transformer). The model takes multi-scale face ... read more 

Ideological and political education behavior recognition by artificial intelligence transformers.

Scientific reports Jun 1, 2026
This study aims to enhance the objectivity and scalability of process evaluation in ideological and political education (IPE) classrooms, while addressing the high cost, strong subjectivity, and limited capacity of traditional manual classroom observ... read more 

Attention-enhanced GNN model for fungal disease classification in spinach leaves using monospectral imaging.

Scientific reports Jun 1, 2026
Plant leaf diseases must be detected and treated early to improve crop yield and reduce agricultural losses. However, pixel-level representations and the inability to be read limit the applicability of existing deep learning approaches to the agricul... read more 

A hybrid knowledge-based and evolutionary framework for fault diagnosis and optimization in power systems.

Scientific reports Jun 1, 2026
This paper presents a hybrid artificial intelligence framework designed to improve the diagnosis of error and subsequent optimization of operational efficiency in complex energy systems. By integrating knowledge-based systems with evolutionary algori... read more 
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