Artificial Intelligence Medical Compendium

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

Showing 3,701 to 3,710 of 169,519 articles

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

Hereditas Aug 8, 2025
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response.... read more 
Humans Machine Learning Biomarkers Animals Gene Expression Profiling Sepsis ROC Curve Mice Computational Biology Pyroptosis Liver Failure, Acute

PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations.

IEEE transactions on pattern analysis and machine intelligence Aug 8, 2025
Machine Learning, particularly Generative Adversarial Networks (GANs), has revolutionised Super-Resolution (SR). However, generated images often lack physical meaningfulness, which is essential for scientific applications. Our approach, PC-SRGAN, enh... read more 

Exploring Interactive Simulation of Grass Display Color Characteristic Based on Real-World Conditions

arXiv Aug 8, 2025
Recent research has focused on incorporating media into living environments via color-controlled materials and image display. In particular, grass-based displays have drawn attention as landscape-friendly interactive interfaces. To develop the gras... read more 
Graphics Human-Computer Interaction

Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method.

Scientific reports Aug 8, 2025
Effective dynamic agricultural planning is crucial for optimising resource allocation and ensuring income stability, yet conventional methods often face limitations in adapting to the complex and variable conditions of mountainous regions, particular... read more 

How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach.

Journal of critical care Aug 8, 2025
OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected infection' and sepsis, using behavioural artificial intelligence technology (BAIT), and to explore the accuracy of this approach for sepsis surveillan... read more 

Adaptive Backtracking for Privacy Protection in Large Language Models

arXiv Aug 8, 2025
The preservation of privacy has emerged as a critical topic in the era of artificial intelligence. However, current work focuses on user-oriented privacy, overlooking severe enterprise data leakage risks exacerbated by the Retrieval-Augmented Gener... read more 
Cryptography and Security Machine Learning Machine Learning

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

Scientific reports Aug 8, 2025
COVID-19 has posed a significant global health challenge, affecting individuals across all age groups. While extensive research has focused on adults, pediatric patients exhibit distinct clinical characteristics that necessitate specialized predictiv... read more 
Humans Machine Learning COVID-19 Algorithms Retrospective Studies Female SARS-CoV-2 Male Infant Severity of Illness Index Adolescent Child, Preschool Child

Multimodal Alzheimer's disease recognition from image, text and audio.

Scientific reports Aug 8, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly affects cognitive function. One widely used diagnostic approach involves analyzing patients' verbal descriptions of pictures. While prior studies have primarily f... read more 
Humans Female Male Alzheimer Disease

Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.

Hereditas Aug 8, 2025
BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder. The role of protein post-translational modifications (PTMs), especially small ubiquitin-like modifier (SUMO) conjugation (SUMOylation), in PD pathogenesis remains unclear. T... read more 
Humans Biomarkers Gene Expression Profiling Gene Regulatory Networks Parkinson Disease Sumoylation Ubiquitins Small Ubiquitin-Related Modifier Proteins

Advanced machine learning for innovative drug discovery.

Journal of cheminformatics Aug 8, 2025
This editorial presents an analysis of the articles published in the Journal of Cheminformatics Special Issue "AI in Drug Discovery". We review how novel machine learning developments are enhancing structural-based drug discovery; providing better fo... read more 
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