Artificial Intelligence Medical Compendium

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

Showing 1,161 to 1,170 of 213,401 articles

Interpretable Machine Learning Framework for Gas Adsorption Prediction and Screening on Transition Metal Dichalcogenides.

Langmuir : the ACS journal of surfaces and colloids
Two-dimensional transition metal dichalcogenides (TMDs) are promising gas-sensing materials, but adsorption behavior across doped host-dopant-gas spaces remains difficult to predict and interpret. Here, we develop a descriptor-informed machine-learni... read more 

Random Forest Modeling to Predict Small Molecule Accumulation in Gram-Negative Bacteria.

ACS infectious diseases
Despite extensive efforts over the past ∼60 years to discover new classes of Gram-negative-active antibiotics, the development pipeline remains relatively dry. These failures can be largely ascribed to the complexity of the Gram-negative membranes an... read more 

Investigating the mechanisms of malignant progression in colorectal cancer using weighted gene co-expression network analysis and machine learning.

Journal of molecular histology
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Understanding the complex molecular networks that underlie this aggressive behavior is critical for developing novel diagnostic and therapeutic strategies. This st... read more 

Age-Related Brain Atrophy Mediates a Composite Outcome of One-Year Ischemic Stroke Recurrence and All-Cause Mortality Through YKL-40-Related Inflammatory Pathways: A Structural Equation Model.

Translational stroke research
Chronological age is a strong predictor of poor outcomes after ischemic stroke but may not fully capture underlying biological vulnerability. This study investigated whether age-related brain atrophy and plasma YKL-40, a marker of astroglial inflamma... read more 

Predictive Modeling of Coronary Artery Disease Using Color Fundus Photography-Based Features of Retinal Vasculature.

Ophthalmology and therapy
INTRODUCTION: Coronary artery disease (CAD) remains the leading cause of death and current screening methods are limited. Color fundus photography (CFP) has been explored in literature mostly on the basis of associations and exploratory deep learning... read more 

Artificial Intelligence and Protein Design: A retrospective study on 20-year emerging trends and core research areas from bibliometric perspectives.

Probiotics and antimicrobial proteins
Protein design has numerous applications in synthetic biology, drug discovery, and bioengineering. Recently, there has been a revolution in this field due to the emergence of artificial intelligence. At the forefront are deep learning models (DLMs). ... read more 

Teaching in the trenches: adaptive strategies for clinical education in crowded emergency departments.

CJEM
Emergency department crowding has become a pervasive global challenge that strains patient flow and compromises clinical learning environments. Traditional teaching approaches are often impracticable when patient volumes exceed system capacity and cl... read more 

The Role and Impact of Artificial Intelligence in Preventive Dentistry: A Scoping Review.

International dental journal
OBJECTIVE: This scoping review aims to identify the current applications of artificial intelligence (AI) in preventive dentistry for primary disease prevention and synthesises evidence regarding their impact on oral disease prevention. METHODS: A com... read more 

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

Nurse education today
BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development of non-technical skills. Debriefing is integral to simulation-based education; however, shortages of... read more