Artificial Intelligence Medical Compendium

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

Showing 37,981 to 37,990 of 223,469 articles

Physics-constrained neural ordinary differential equation models to discover and predict microbial community dynamics.

Proceedings of the National Academy of Sciences of the United States of America
Microbial communities play essential roles in shaping ecosystem functions and predictive modeling frameworks are crucial for understanding, controlling, and harnessing their properties. Competition and cross-feeding of metabolites drives microbiome d... read more 

Exploring the association between Frailty Index and Knee osteoarthritis in middle-aged and older Chinese adults: A cross-sectional analysis of data from the China Health and Retirement Longitudinal Study.

PloS one
OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in Chinese people aged 45 and above. METHODS: Data on symptomatic KOA, FI, and over ten covariates were from the China Health and Retirement Longitudinal ... read more 

A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting.

PloS one
Accurate traffic flow prediction is essential for alleviating urban congestion, improving road network efficiency, and sup-porting sustainable transportation systems. Existing spatio-temporal graph neural networks, however, often struggle to capture ... read more 

Building an intelligent brain platform for small and medium-sized enterprises using ChatGLM and Multi-Agent Systems.

PloS one
Large language models (LLMs) have demonstrated strong capabilities in semantic understanding and text generation. However, their direct application in the segmented and specialized domains of small and medium-sized enterprises (SMEs) presents several... read more 

Employing in-context learning prompts with large language models for drone routing in delivery services.

PloS one
Autonomous Aerial Vehicles (AAVs) - known as drones - employment in delivery services is one of the promising transformative technologies. The AAV industry has taken significant steps to develop drones to fulfill the needs of delivery services. Howev... read more 

AI-MedCraft: A Strategy-Driven AI Platform for Multi-Objective Molecular Design.

Journal of chemical information and modeling
Small-molecule drug discovery requires balancing potency, selectivity, solubility, safety, and synthetic feasibility, among other interdependent properties. Yet most computational workflows address these properties sequentially or collapse them into ... read more 

Artificial Intelligence and Multiomics Beyond PSA Screening in African and Middle Eastern Prostate Cancer Patients.

Journal of proteome research
Prostate cancer (PCa) remains a major global health burden, with incidence rising as populations age. The molecular, histological, and patient-specific heterogeneity of PCa underscores the urgent need for advanced strategies to improve detection and ... read more 

Comparison of cognitive ability and its distribution between men with autism spectrum disorder and attention-deficit/hyperactivity disorder.

PloS one
OBJECTIVES: Clarification of the strengths and weaknesses of cognitive ability is essential to our understanding of the characteristics of autism spectrum disorder and attention deficit/hyperactivity disorder. However, whether individuals with these ... read more 

Diagnostic accuracy of AI-assisted chest radiographs in tuberculosis screening: A Ghanaian clinical study.

PloS one
BACKGROUND: Tuberculosis remains a major global health challenge, particularly in resource-limited settings where access to expert radiological interpretation is constrained. Artificial intelligence offers a promising solution to enhance diagnostic a... read more 

Social compatibility in opposite-sex prairie vole pairs is modulated by early-life sleep experience.

PLoS biology
Studies of human social behavior indicate stronger social affinity in matched-neurotype dyads (e.g., two individuals with autism or two without) compared to mixed-neurotype dyads (e.g., one individual with autism paired with one without). Is this dya... read more