Artificial Intelligence Medical Compendium

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

Showing 621 to 630 of 6,689 articles

A self-learning method with domain knowledge integration for intelligent welding sequence planning.

Scientific reports Jul 10, 2025
Due to the emergence of mass personalized production, intelligent welding systems must achieve high levels of productivity and flexibility. Therefore, a self-learning welding-task sequencing method that is driven by data and knowledge was developed d... read more 

A Multi-Scale attention network for building extraction from high-resolution remote sensing images.

Scientific reports Jul 10, 2025
The information in remote sensing images often leads to incomplete building contours and suboptimal adaptability to complex building scenes. To address these issues, we propose a novel multi-scale network with dual attention mechanisms to extract cle... read more 

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.

Scientific reports Jul 10, 2025
Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation. Drowsiness significantly impairs a driver'... read more 
Humans Machine Learning Algorithms Female Adult Male Wearable Electronic Devices Photoplethysmography Accidents, Traffic Heart Rate Automobile Driving Sleep Stages

Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture.

Scientific reports Jul 10, 2025
This paper presents a novel approach for personalized learning path generation by integrating deep knowledge tracing and cognitive load estimation within a unified framework. We propose a dual-stream neural network architecture that simultaneously mo... read more 
Humans Neural Networks, Computer Algorithms Learning Deep Learning Cognition

Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.

Scientific reports Jul 10, 2025
Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracerebral hemorrhage. We aimed to develop a risk assessment model to predict the risk of lower extremity DVT during hospitalization in patients with spontan... read more 
Humans Machine Learning Algorithms Retrospective Studies Female Risk Factors Hospitalization Aged Male Middle Aged Risk Assessment ROC Curve Venous Thrombosis Lower Extremity Cerebral Hemorrhage

Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks.

Scientific reports Jul 10, 2025
Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the elec... read more 

Automated tick classification using deep learning and its associated challenges in citizen science.

Scientific reports Jul 10, 2025
Lyme borreliosis and tick-borne encephalitis significantly impact public health in Europe, transmitted primarily by endemic tick species. The recent introduction of exotic tick species into northern Europe via migratory birds, imported animals, and t... read more 
Humans Animals Deep Learning Lyme Disease Citizen Science Ticks

Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Scientific reports Jul 10, 2025
Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all skin cancer cases, it is responsible for the majority of skin cancer-related deaths. Early detection and accurate diagnosis are crucial for improving th... read more 
Humans Neural Networks, Computer Algorithms Melanoma Skin Neoplasms Image Processing, Computer-Assisted

An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production.

Scientific reports Jul 10, 2025
The urgency for sustainable and efficient hydrogen production has increased interest in heterostructured nanomaterials, known for their excellent photocatalytic properties. Traditional synthesis methods often rely on trial-and-error, resulting in ine... read more 

Aqua-MC as a simple open access code for uncountable runs of AquaCrop.

Scientific reports Jul 10, 2025
Understanding uncertainty in crop modeling is essential for improving prediction accuracy and decision-making in agricultural management. Monte Carlo simulations are widely used for uncertainty and sensitivity analysis, but their application to close... read more 
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