Artificial Intelligence Medical Compendium

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

Showing 15,321 to 15,330 of 213,137 articles

A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning.

Scientific reports
High frequency vehicle-to-vehicle (V2V) communication in the Internet of Vehicles (IoV) leads to severe spectrum collisions and limited system capacity. Meanwhile, safety information transmission requires V2V communication with high transmission succ... read more 

A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainability.

Scientific reports
Deep learning models for brain tumor diagnosis often lack interpretability beyond qualitative visual heatmaps. Clinicians require not only tumor localization but also quantitative assessment of explanation quality and diagnostic relevance, capabiliti... read more 

A two-stream network with global-local feature fusion for bone age assessment.

Scientific reports
Bone age assessment (BAA) is a widely used clinical technique that can accurately reflect an individual's growth and development level, as well as maturity. In recent years, although deep learning has advanced the field of bone age assessment, existi... read more 

Art management platform based on virtual scenes.

Scientific reports
This article is based on the form of "VR + Art Platform" and designs an art management platform that integrates display, trading, and socializing. The development of front-end work is carried out using Unity 3D engine, and modeling software such as 3... read more 

In silico augmentation strategies for enhanced machine learning performance in fracture recognition.

Scientific reports
This study presents a machine learning framework for fracture risk prediction and in silico validation of synthetic biomedical data. A retrospective dataset comprising 169 patient records with clinically relevant variables, including age, sex, weight... read more 

Radiomics Grading of Hand Osteoarthritis Severity Using Standard Radiographs: Results from the DIGICOD Cohort.

Osteoarthritis and cartilage
OBJECTIVE: This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structural severity in hand osteoarthritis (HOA) compared to Kellgren-Lawrence (KL) scores, ranging from 0 ... read more 

A two-stage stacking machine learning framework for predicting metal oxide nanoparticle toxicity and biological outcomes.

NanoImpact
Metal oxide nanoparticles (MONPs) raise growing cytotoxicity concerns, yet experimental assessment requires multiple time-consuming biological assays. We developed a leakage-free two-stage machine learning framework predicting MONP toxicity and biolo... read more 

Enhancing Protein Subcellular Localization Prediction through Language Model-Based Knowledge Embeddings and Machine Learning Techniques.

Analytical biochemistry
Determining the subcellular localization of proteins is critical for understanding their functional roles. With the rapid expansion of protein sequence databases, traditional experimental and homology-based approaches for Protein Subcellular Localiza... read more 

Activity-driven engineering of Baeyer-Villiger monooxygenase from Thermobifida fusca for the synthesis of methyl (2S)-5-chloro-2-hydroxy-1-oxo-2,3-dihydro-1H-indene-2-carboylate: a key precursor of (S)-indoxacarb.

Journal of biotechnology
The synthesis of key chiral intermediates via biocatalysis is of great importance in pharmaceutical manufacturing. In this study, we engineered a phenylacetone monooxygenase from Thermobifida fusca to enhance its catalytic activity for the synthesis ... read more