Artificial Intelligence Medical Compendium

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

Showing 48,941 to 48,950 of 224,513 articles

FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling.

Nature communications
Gastrulation, a critical developmental stage involving germ layer specification and axes formation, is a major point of failure in human development, contributing to pregnancy loss and congenital malformations. However, due to ethical constraints and... read more 

Deep learning models identify brain changes during the progression of Alzheimer's disease.

NPJ systems biology and applications
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely associated with time. However, most diagnostic models are based on single time-point data, overlooking longitudinal disease characteristics. Structura... read more 

Improving predictive reliability and automation of smart grids using the StarNet ensemble model.

Scientific reports
Ensuring predictive reliability and automation in smart grids is vital for stable and efficient electricity distribution. This study introduces the StarNet Ensemble Model, a web-based intelligent framework designed to enhance grid stability through a... read more 

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning.

Scientific reports
Modern power systems are subjected to natural disruptions and cyberattacks, both of which have the potential to have catastrophic consequences on the grid's stability and security. Besides, due to the sophistication of cyber-physical threats, includi... read more 

A dayside aurora dataset from the Global-scale Observations of the Limb and Disk mission.

Scientific data
We present a comprehensive dataset of dayside auroral emissions observed by the Global-scale Observations of the Limb and Disk (GOLD) mission from October 2018 to June 2025. The dataset contains over 47,000 unique scans of the northern aurora in thre... read more 

Machine learning estimates for G20 subnational urban GHG emissions from 2000-2020.

Scientific data
Reliable, comparable greenhouse gas (GHG) emissions data at the subnational level remain scarce, despite growing expectations for cities and regions to lead on climate action. Inconsistent reporting, methodological variation, and limited coverage of ... read more 

Predicting porosity in composite high-pressure hydrogen vessels using augmented fuzzy cognitive AI and manufacturing process parameters.

Scientific reports
High-pressure hydrogen storage vessels type IV (HPV), made from carbon fiber-reinforced composites, are essential for hydrogen-powered applications due to their strength and light weight. However, they remain vulnerable to internal defects such as po... read more 

Hybrid spatiotemporal modeling of nutrient cycling in wetland ecosystems using advanced mapping techniques and machine learning approaches.

Scientific reports
Accurate spatiotemporal monitoring of nutrient cycling in wetlands is critical for conservation. However, traditional field-based methods are often inadequate for capturing the overall dynamics of wetlands. To address this challenge, we developed and... read more