Artificial Intelligence Medical Compendium

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

Showing 48,161 to 48,170 of 224,199 articles

Disorder and Homeostasis in ANIBOT A Biologically-Inspired Animal Robot.

Bulletin of mathematical biology Feb 21, 2026
The effects of external perturbations (or disorder) in the Hopf bifurcations of a central pattern generator (CPG) network of neurons that serves as a model for the circuit realization of ANIBOT-a biologically-inspired animal robot with four legs-are ... read more 

On the reported methodology in published TriNetX-based studies: an analysis of impossible index event designs.

European journal of epidemiology Feb 21, 2026
Ease of access to big data and automated analysis tools can facilitate the rapid generation of poorly designed epidemiological studies, which collectively pose a risk to the quality of medical literature. Member organizations of the TriNetX network h... read more 

The Danish Chronic Disease Cohort: using digital footprints to identify chronic disease patterns.

European journal of epidemiology Feb 21, 2026
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Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform.

International urology and nephrology Feb 21, 2026
Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely decision-making in emergency radiology. However, rising imaging volumes and workflow pressures continue to limit reporting capacity, creating a need fo... read more 

Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach.

European addiction research Feb 21, 2026
INTRODUCTION: Early identification for preventing drug misuse among adolescents and young adults (AYAs) is more cost-effective than drug treatment. However, there is a lack of scientific and comprehensive risk models for early identification. This st... read more 

Research on Lung Cancer Classification Based on Multidimensional Hematological Indicators and Machine Learning Models.

Journal of evidence-based medicine Feb 21, 2026
Accurate subtyping of lung cancer is crucial for developing personalized treatment plans and improving patient outcomes. This study established machine learning models for lung cancer subtyping by integrating multidimensional hematological indicators... read more 

Exploring chemistry and catalysis by biasing skewed distributions via deep learning.

Nature communications Feb 21, 2026
The automated discovery of chemical and catalytic reactions remains a major challenge in computational chemistry, particularly in complex systems where conventional methods struggle to identify optimal searching directions. Here, we propose Loxodynam... read more 

Tumor cell villages define the co-dependency of tumor and microenvironment in liver cancer.

Nature communications Feb 21, 2026
Spatial cellular context is crucial in shaping intratumor heterogeneity. However, understanding how each tumor establishes its unique spatial landscape and what factors drive the landscape for tumor fitness remains significantly challenging. Here, we... read more 

Plant diversity's positive effect on soil respiration diminishes with increasing productivity in global forests.

Nature communications Feb 21, 2026
Plant diversity is essential for regulating ecosystem functions, yet its global-scale relationship with soil respiration, a critical component of the carbon cycle, remains unexplored. While plant productivity modulates ecosystem processes, understand... read more 

Synthesis of covalent organic frameworks for photocatalytic hydrogen peroxide production guided by large language models.

Nature communications Feb 21, 2026
The photosynthetic production of hydrogen peroxide (H2O2) from water and oxygen presents a sustainable alternative to the energy-intensive anthraquinone process. Covalent organic frameworks (COFs) have emerged as promising photocatalysts for H2O2 gen... read more 
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