Artificial Intelligence Medical Compendium

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

Showing 44,841 to 44,850 of 224,055 articles

Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.

Journal of the American Chemical Society
Oxygenated block polymers, comprising esters and carbonates, are priority materials to replace petrochemical polymers in a circular plastics economy. These materials should repopulate the thermomechanical property space mapped by current plastics and... read more 

Association between visceral adipose tissue measured by deep neural network architecture and chronic kidney disease.

Scientific reports
The relationship between abdominal body composition and chronic kidney disease (CKD) is well-documented. In this study, we aimed to investigate the association between CKD and abdominal fat volume assessed using deep neural network architecture. This... read more 

Application of smooth OWA operators to classification of retinitis pigmentosa.

Scientific reports
Retinitis Pigmentosa (RP) is a rare genetic retinal disorder characterized by the progressive degeneration of rod and cone photoreceptors, leading to vision impairment and eventual blindness. This study investigates the application of state-of-the-ar... read more 

Research and implementation of intelligent clothing personalized customization system based on deep learning.

Scientific reports
This study presents an intelligent personalized garment customization system that integrates deep learning methodologies. The system employs a microservices architecture to unify four core modules: body measurement data extraction, style preference l... read more 

Application of representation learning in detecting botnet attacks.

Scientific reports
Botnet detection remains a perennial and critical challenge in cybersecurity. As long as the internet exists, threat actors will devise new ways to create and disguise these malicious networks, making the development of robust detection methods a tas... read more 

Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks.

Scientific reports
Cognitive Radio Networks (CRNs) are essential for improving spectrum efficiency in 5G and beyond; however, their open and adaptive nature makes them highly vulnerable to jamming attacks. The purpose of this work is to develop an anti-jamming framewor... read more 

Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework.

Scientific reports
Rapid and accurate identification of pollution sources is critical for emergency management but remains challenged by the high computational cost and uncertainty of traditional numerical models. To address this, this study aims to develop a novel hyb... read more 

Community detection framework based on 3D shape descriptors for tree species classification in point cloud data.

Scientific reports
Accurate tree species classification from remote sensing data, such as LiDAR point clouds, is important for various applications, including vegetation monitoring and forest growth prediction. Although numerous machine learning algorithms are used wid... read more 

Evaluation of the level of responsibility in pedestrian crashes using machine learning algorithms.

Scientific reports
Traffic crashes involving pedestrians tend to result in the most casualties (minor, serious, or fatal). Therefore, accurately determining the level of responsibility in a pedestrian crash is crucial, as liability can lead to civil, administrative, or... read more