Artificial Intelligence Medical Compendium

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

Showing 12,781 to 12,790 of 210,785 articles

Integrative transcriptomic analysis identifies immune-associated candidate genes and altered immune cell infiltration in pulmonary arterial hypertension.

PloS one
BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by immune dysregulation and pulmonary vascular remodeling. This study aimed to identify immune-associated hub genes in PAH using an integrative bioinfor... read more 

Scalable and cost-efficient custom gene library assembly from oligopools.

Science advances
Advances in metagenomics, deep learning, and generative protein design have enabled broad in silico exploration of sequence space, but experimental characterization is still constrained by the cost and scalability of DNA synthesis. Here, we present O... read more 

Combinatorial optimization with Kerr solitons.

Science advances
The challenge of scaling digital computing motivates innovation, especially through the evolution of physical systems that mimic neural networks and combinatorial optimization problems. Light is a hyperefficient information carrier, and if efficient ... read more 

Understanding Blood-Injection-Injury Phobia: Do Not Miss the Point.

A&A practice
Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It can significantly disrupt operating room throughput, increase healthcare costs, cause delays in care, and lead to patient disengagement with the healthc... read more 

Study of the Stability of Structural Variants and Magnetic Properties of TmGa2.

Inorganic chemistry
We present a detailed study of the electronic structure, chemical bonding, and magnetic properties of TmGa2. The analysis of chemical pressure in a series of hexagonal REGa2 compounds (RE = La, Pr, Nd, Gd-Tm and Lu) reveals that steric factors contri... read more 

A machine learning approach for early Parkinson's disease diagnosis based on brain texture features from T1-weighted imaging.

Neurological research
OBJECTIVE: To investigate the diagnostic value of subcortical texture features from T1-weighted MRI combined with machine learning for early Parkinson's disease (PD), and to develop a simplified model for clinical application. METHODS: Retrospective ... read more 

Leveraging Retrieval-Augmented Generation (RAG) Technology for Enhanced Accreditation Preparedness and Compliance in Physical Therapy Education.

Journal, physical therapy education
BACKGROUND AND PURPOSE: Accreditation ensures educational program quality, public accountability, and professional readiness. Compliance demands substantial personnel effort and coordination. Although advances in artificial intelligence (AI), and mor... read more 

Machine Learning of Photocatalytic Reductive Coupling of Aldehydes and Its Interpretation Using SHapley Additive exPlanations.

Organic letters
Photocatalytic coupling reactions are valuable for sustainable synthesis, yet their development and optimization still rely on empirical time-consuming screening. Using 439 literature data points, we developed an interpretable machine learning workfl... read more 

Twelve Tips for Recognizing and Addressing the Adverse Effects of Medical Education Interventions: Tutorial.

JMIR medical education
"First, do no harm" is a fundamental principle in health care, and clinical researchers carefully monitor adverse drug reactions to ensure patient safety. However, educational researchers and clinical educators rarely apply the same level of scrutiny... read more 

Environmental Antibiotic Contamination and AMR: Integrating Pathways, Impacts, and AI-Driven Mitigation.

Environmental toxicology and chemistry
The widespread contamination of the environment with antibiotic residues is a significant factor contributing to the global crisis of antimicrobial resistance. Antibiotics from various sources, such as effluents from municipal and hospital wastewater... read more