Artificial Intelligence Medical Compendium

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

Showing 351 to 360 of 158,269 articles

Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

Biomedical engineering online
INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infections with distinct treatment protocols. Rapid and accurate differentiation between these two conditions is crucial for effective clinical management; ...

Applying deep learning techniques to identify tonsilloliths in panoramic radiography.

Scientific reports
Tonsilloliths can be seen on panoramic radiographs (PRs) as deposits located on the middle portion of the ramus of the mandible. Although tonsilloliths are clinically harmless, the high risk of misdiagnosis leads to unnecessary advanced examinations ...

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.

IEEE transactions on neural networks and learning systems
Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a significant obstacle for their open-world deployment. Du...

Bi-decadal trends in land cover and ecological dynamics across the Korean Peninsula with implications for sustainable development.

Scientific reports
This study analyzes land cover and ecological changes on the Korean Peninsula over two decades (2001-2021), emphasizing the relationship between ecological diversity and key drivers such as population dynamics, land use changes, and climatic factors....

PZT optical memristors.

Nature communications
Optical memristors represent a monumental leap in the fusion of photonics and electronics for neuromorphic computing and artificial intelligence. Here, we reveal the first lead zirconate titanate (PZT) optical memristor, working with a paradigm of fu...

Hybrid fuzzy logic-PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems.

Scientific reports
This paper introduces a hybrid fuzzy logic control-based proportional-integral (FLC-PI) control strategy designed to enhance voltage stability, power quality, and overall performance of central inverters in photovoltaic power plants (PVPPs). The stud...

Anoikis-related biomarkers PARP1 and SDCBP as diagnostic and therapeutic targets for asthma.

Scientific reports
This study aims to explore the association between anoikis-related genes (ARGs) and asthma. The dataset GSE143303 for asthma were sourced from the GEO database, while ARGs were retrieved from the Harmonizome web portal and the GeneCards database. Dif...

Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts.

Scientific reports
This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), workability (Slump), and porosity. Various machine learni...

A unified model integrating UTAUT-Behavioural intension and Object-Oriented approaches for sustainable adoption of Cloud-Based collaborative platforms in higher education.

Scientific reports
In recent years, cloud computing (CC) services have expanded rapidly, with platforms like Google Drive, Dropbox and Apple iCloud and gaining global adoption. This study evolves a predictive model to identify the key factors that influencing Jordanian...

Perspective on Theoretical Modeling of Soft Molecular Machines and Devices: A Fusion of Data-Driven Approaches with Traditional Computational Chemistry Algorithms.

ChemistryOpen
The design of complex molecular machines and devices represents one of the most ambitious frontiers in nanotechnology, synthetic chemistry, and molecular engineering. These intricate systems, inspired by biological machines, require precise control o...