Artificial Intelligence Medical Compendium

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

Showing 25,651 to 25,660 of 217,759 articles

Improving efficiency and workflows in the nonoperating room anesthesia setting.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Nonoperating room anesthesia (NORA) services are rapidly expanding and now represent a substantial proportion of anesthetic care. Efficient systems are critical to enable limited anesthesia resources to meet this increased demand. ... read more 

Heterogeneous and convoluted morphological features of dendritic spines in the human amygdaloid complex.

Neuroscience
The human amygdaloid complex is connected to cortical and subcortical pathways for sensory and emotional processing, memory, cognition, and social behavior display. Dendritic spines are specialized protrusions that actively fine-tune postsynaptic res... read more 

A review of the State-of-the-Art: progress in ultrasonic and acoustic techniques for quality assessment in the development and manufacturing of oral solid dosage forms - Part II: Applications and emerging directions.

International journal of pharmaceutics
This review is presented in two parts: Part I addresses the theoretical foundations and principles of ultrasonic and acoustic techniques, while Part II-presented here-focuses on their practical applications and emerging directions in advanced pharmac... read more 

Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.

Environmental pollution (Barking, Essex : 1987)
Bisphenol analogues (BPs) are widely detected in aquatic environments; however, comprehensive spatial characterization across large river systems remains limited, and their associated factors have rarely been quantitatively assessed. This study inves... read more 

Top-down estimates of anthropogenic NOx emissions over China through a new zone-stratified RF machine learning model.

Environmental pollution (Barking, Essex : 1987)
This study designs a new zone-stratified Random Forest (RF) machine learning model to estimate monthly anthropogenic NOx emissions over China at the spatial resolution of 0.25° × 0.25°. Zone-stratified RF divides China into different emission zones t... read more 

Cigarette smoking and long-term incidence of colorectal cancer subclassified by tumor-infiltrating myeloid cells: A prospective cohort study.

Environmental pollution (Barking, Essex : 1987)
Evidence indicates that cigarette smoking affects anti-tumor immunity. We tested a hypothesis that the association of smoking with long-term colorectal cancer (CRC) incidence might differ by myeloid cell infiltrates in tumors, which may play roles in... read more 

Artificial intelligence and machine learning in smart vaginal formulation development.

Advanced drug delivery reviews
Vaginal drug delivery in women's health remains underutilized and insufficiently studied, largely due to the complexity and dynamic nature of the vaginal microenvironment. Variations in vaginal pH, hormonal levels, and microbiota composition introduc... read more 

Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems.

Advanced drug delivery reviews
Advances in artificial intelligence (AI) and synthetic biology are transforming biological research and biotechnology. These fields are for the first time enabling the design and development of human and bacterial cells that can serve as "living" dru... read more 

Cognitive trajectories in early Parkinson's disease: A multimodal MRI study of brain structure and cognitive decline.

Neurobiology of disease
Cognitive trajectories in Parkinson's disease (PD) exhibit substantial heterogeneity, ranging from long-term stability to rapid decline. The specific neural circuit dysfunctions underlying these distinct outcomes remain unclear. Utilizing magnetic re... read more 

Exploration of ferroptosis-related biomarkers and regulatory mechanisms in two diseases (sarcopenia and idiopathic pulmonary fibrosis) based on transcriptome and machine learning.

Experimental gerontology
BACKGROUND: Sarcopenia (SP) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases, but share ferroptosis-related biomarkers and their regulatory mechanisms in both remain unclear, hindering targeted research and therapy. METHODS: In this ... read more