Artificial Intelligence Medical Compendium

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

Showing 49,221 to 49,230 of 224,513 articles

Uncovering the potential mechanisms of aspartame-induced oral leukoplakia via integrated network toxicology and molecular dynamics simulations.

International journal of surgery (London, England) Feb 18, 2026
OBJECTIVE: Aspartame, a widely used artificial sweetener, has attracted increasing attention for its potential systemic and oral toxicity. However, the molecular mechanisms by which it induces oral diseases remain largely unexplored. This study aims ... read more 

Characteristics, cost/effect consideration of clinical examinations, and construction of machine learning models of restrictive cardiomyopathy: insights from Peking Union Medical College Hospital.

International journal of surgery (London, England) Feb 18, 2026
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Generative artificial intelligence in healthcare: a bibliometric analysis.

International journal of surgery (London, England) Feb 18, 2026
With the rapid advancement of generative artificial intelligence (Gen AI) technology, an increasing number of studies are integrating Gen AI into healthcare. This study analyzed 1987 English publications in this field using bibliometric methods, sour... read more 

Prediction of bacterial protein-compound interactions with only positive samples.

Bioinformatics (Oxford, England) Feb 18, 2026
MOTIVATION: Prediction of Compound-Protein Interactions (CPI) in bacteria is crucial to advance various pharmaceutical and chemical engineering fields, including biocatalysis, drug discovery, and industrial processing. However, current CPI models can... read more 

Is the evaluation of performance gender specific? Evidence from two large experimental studies.

PloS one Feb 18, 2026
It is often assumed that women receive less recognition than men for the same work or performance. We test this assumption via two large-scale online-survey experiments involving 3,157 (Study I) and 2,909 (Study II) respondents respectively. In both ... read more 

Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season.

PloS one Feb 18, 2026
The primary approach to the treatment of seasonal allergic diseases involves minimizing exposure to allergens and initiating early personalized therapy. The medication should be introduced about 7 days before the start of the pollen season and intens... read more 

Pondering the Future of Chemical Research amid the Wider Adoption of Artificial Intelligence Technologies.

Chemistry (Weinheim an der Bergstrasse, Germany) Feb 18, 2026
The rapid adoption of artificial intelligence (AI) and machine learning (ML) in chemistry coincides with increasing structural pressures on academic research, including funding constraints, talent competition, and changing attitudes toward scientific... read more 

An ultrasound-based artificial intelligence framework for difficult airway prediction: A two-model, three-step decision framework.

PloS one Feb 18, 2026
BACKGROUND: At present, the early warning of difficult airway remains fraught with challenges. Previous ultrasonic quantitative parameters have demonstrated favorable application potential in difficult airway assessment, and deep learning techniques ... read more 

An intelligent method for Buoy meteorological data restoration using a Spatio-Temporal Dual-Attention Network with transformer and GAT.

PloS one Feb 18, 2026
Meteorological sensors deployed on ocean buoys frequently suffer from data loss or outliers due to electromagnetic interference and component failures caused by harsh weather and environmental conditions. Accurate reconstruction of corrupted buoy dat... read more 

Anomaly detection of cybersecurity behavior using cross-sequence aligned transformer-A dynamic recognition approach for high-frequency interaction patterns.

PloS one Feb 18, 2026
In high-frequency interaction network environments, network traffic features and user behavior sequences often exhibit pronounced temporal asynchrony and information redundancy, which can substantially weaken the capability of anomaly detection model... read more 
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