Artificial Intelligence Medical Compendium

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

Showing 81 to 90 of 156,510 articles

Identification of Oxidative Stress-Related Markers for Chronic Atrophic Gastritis Using WGCNA and Machine Learning.

Digestive diseases and sciences
BACKGROUND: Western medical treatment and surgery are less effective in treating chronic atrophic gastritis, and there is no definitive treatment for chronic atrophic gastritis. Some studies suggest that oxidative stress regulation may play a role in...

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.

The international journal of behavioral nutrition and physical activity
BACKGROUND: Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and da...

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light-Driven Nanozyme Sensor Array and Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Neurological diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, pose a significant global health challenge due to their complex pathogenesis and widespread prevalence. These disorders are often associated with disru...

Learning interpretable network dynamics via universal neural symbolic regression.

Nature communications
Discovering governing equations of complex network dynamics is a fundamental challenge in contemporary science with rich data, which can uncover the hidden patterns and mechanisms of the formation and evolution of complex phenomena in various fields ...

The impact of China's artificial intelligence development on urban energy efficiency.

Scientific reports
Energy efficiency has become a central concern amidst shifting global economic conditions, intensifying climate variability, and geopolitical tensions that have fundamentally reshaped energy consumption and production patterns. Improving energy effic...

Targeting PFKFB3 to restore glucose metabolism in acute pancreatitis via nanovesicle delivery.

Molecular medicine (Cambridge, Mass.)
BACKGROUND: Acute pancreatitis (AP) is a severe inflammatory disease frequently accompanied by disturbances in glucose metabolism, which further complicate the disease prognosis. This study aims to explore the role of PFKFB3, a key glycolytic enzyme,...

Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

European journal of clinical pharmacology
PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine learning methods, including neural networks, to predict steady-state trough concentrations in pediatric patients and provide improved dosing recommendati...

A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions.

NPJ digital medicine
AI-powered smart glasses are emerging as a highly promising advancement in the field of digital health management, owing to their capabilities in real-time monitoring, chronic disease management, and personalized treatment planning. To comprehensivel...

A systematic review of machine learning approaches in cochlear implant outcomes.

NPJ digital medicine
Cochlear implants (CIs) have transformed the lives of over one million individuals with hearing impairment, including children as young as nine months. This systematic review critically examines the current literature on the application of machine le...

Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning.

Scientific reports
This study introduces two innovative methods-Three-frequency pseudorange combination (TFPC) and Three-frequency carrier phase combination (TFCPC)-for estimating soil moisture using GNSS-IR technology. Unlike traditional methods that require separatin...