Artificial Intelligence Medical Compendium

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

Showing 5,221 to 5,230 of 174,202 articles

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference.

Journal of cheminformatics Aug 18, 2025
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more 

Analysis of potential molecular targets and mechanisms of brominated flame retardants in causing osteoarthritis using network toxicology, machine learning, SHAP analysis, and molecular dynamics simulation.

BMC pharmacology & toxicology Aug 18, 2025
BACKGROUND: The commonly used brominated flame retardant (2,2’,4,4’-Tetrabromodiphenyl Ether, BDE-47) is a persistent organic pollutant that is widely distributed in the environment and is associated with adverse health effects, including an increase... read more 

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics Aug 18, 2025
OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more 
Humans Neural Networks, Computer Patient Safety Australia Risk Management Medical Errors

Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study.

BMC nursing Aug 18, 2025
BACKGROUND: Artificial intelligence (AI) shows great potential to improve clinical nursing practices. However, concerns and challenges related to its implementation have led to resistance among nurses, hindering the widespread use of AI tools in heal... read more 

Deep learning for survival prediction in triple-negative breast cancer: development and validation in real-world cohorts.

Scientific reports Aug 18, 2025
Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous disease, highlighting the need for better patient stratification to guide treatment. We developed a deep learning-based survival model and an individualized prognosis system usin... read more 

A physics-informed Airy beam learning framework for blockage avoidance in sub-terahertz wireless networks.

Nature communications Aug 18, 2025
The line-of-sight blockage is one of the main challenges in sub-terahertz wireless networks. Interestingly, the extended near-field range of sub-terahertz nodes gives rise to near-field wavefront shaping as a feasible remedy to tackle this issue. Rec... read more 

Co-Designing AI-Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study.

Drug and alcohol review Aug 18, 2025
INTRODUCTION: Developing mass meda campaigns to address rising youth vaping rates in Australia is timely and resource-intensive. Generative AI offers scalable content production, but little is known about youth perceptions of AI-generated multimedia ... read more 

Deep fusion of incomplete multi-omic data for molecular mechanism of Alzheimer's disease.

Scientific reports Aug 18, 2025
Multi-omics data provides a comprehensive view of biological systems and enables researchers to uncover intricate molecular mechanisms underlying complex diseases. However, multi-omic data is often incomplete and joint modeling of multi-omics data wi... read more 

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning.

Scientific reports Aug 18, 2025
Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performanc... read more 

Research on the impact of artificial intelligence applications on agricultural green development.

Scientific reports Aug 18, 2025
A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agricultur... read more 
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