Artificial Intelligence Medical Compendium

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

Showing 171 to 180 of 6,548 articles

Consistent vehicle trajectory extraction from aerial recordings using oriented object detection.

Scientific reports
Vehicle trajectories offer valuable insights for a wide range of road transportation applications. Due to the rise of drone technology, a growing branch of literature explores optical vehicle trajectory extraction from aerial videos, where object det... read more 

An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks.

Scientific reports
Intelligent Transportation Systems (ITS) necessitate scalable, real-time, and adaptive traffic flow prediction models to enhance urban mobility and alleviate congestion. Conventional Graph Neural Network methodologies encounter difficulties in managi... read more 

Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees.

Scientific reports
Reinforced concrete (RC) T-beams are widely used in structural systems due to their efficient geometry and load-carrying capacity. However, accurately predicting their shear strength remains a challenge, particularly under complex loading scenarios. ... read more 

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def... read more 

Creating interpretable deep learning models to identify species using environmental DNA sequences.

Scientific reports
Monitoring species' presence in an ecosystem is crucial for conservation and understanding habitat diversity, but can be expensive and time consuming. As a result, ecologists have begun using the DNA that animals naturally leave behind in water or so... read more 

AI-based prediction of traffic crash severity for improving road safety and transportation efficiency.

Scientific reports
Ensuring safe transportation requires a comprehensive understanding of driving behaviors and road safety to mitigate traffic crashes, reduce risks and enhance mobility. This study introduces an AI-driven machine learning (ML) framework for traffic cr... read more 

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework.

Scientific reports
Global population aging highlights the need to understand how the elderly perceive safety in urban public spaces. This study used image semantic segmentation to identify key visual elements from panoramic images. A dataset was created by combining ma... read more 

Classification of skin diseases with deep learning based approaches.

Scientific reports
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c... read more 

Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks.

Scientific reports
This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations. To improve system resilience and achieve swift recovery without depending on fault... read more 

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

Scientific reports
The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child's movement pattern across multiple joint levels, formed by a complex kinema... read more