Artificial Intelligence Medical Compendium

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

Showing 39,801 to 39,810 of 223,737 articles

Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation.

Scientific reports
Conventional methods are still labor-intensive, hazardous, and have limited coverage, even though reliable pipeline inspection is crucial for oil, gas, and water distribution networks, emphasize key challenges of pipeline inspection and automated nav... read more 

A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery.

Scientific reports
Rapid assessment of hazardous aerosol dispersion is critical for emergency response, yet operational dispersion workflows can exhibit end-to-end latency that is incompatible with the first minutes of decision-making. This study develops and validates... read more 

A contrastive learning framework with adaptive feature fusion for brain tumor classification.

Scientific reports
Accurate classification of brain tumors from MRI scans is critical for diagnosis and treatment planning, yet remains challenging due to high intra-class heterogeneity and subtle inter-class differences. While deep learning has shown promise in automa... read more 

Strategies for Improving Carbon Emission Efficiency of Municipal Solid Waste Management System in Western China: A Transition toward Environmental Equity.

Environmental science & technology
Rapid urban expansion poses critical challenges for cross-regional municipal solid waste (MSW) management within the context of climate mitigation and sustainable development. While the energy substitution benefits of MSW are well documented, signifi... read more 

Understanding Synthesis Space in Ligand-Assisted Reprecipitated CsPb(BrxI1-x)3 Perovskite Nanocrystals.

ACS nano
The ligand-assisted reprecipitation (LARP)-based synthetic approach has gained attention as a promising method for scalable synthesis of perovskite nanocrystals (PNCs) with outstanding optoelectronic functionalities. However, such distinct synthetic ... read more 

Physical Implausibility of Carbohydrate Ligands in Results of Deep Learning-Based Cofolding Methods.

Journal of chemical information and modeling
Stereochemistry violations in AlphaFold 3 models are more prevalent than currently appreciated. Analysis of 900 carbohydrate ligands revealed that 85.8% have errors, mainly in chirality but also including bond conversions (15.2%), planar ring distort... read more 

SIBioX: A Matrix Based Bioinformatics Analysis Tool Based on Swarm Intelligence Algorithm.

Analytical chemistry
Biological matrix data are essential for computational analysis, providing a structured framework to identify patterns and relationships in biological systems. Many other biological data types, including sequences, networks, and images, can be transf... read more 

Interplay between high-energy quenching and state transitions in Chlamydomonas reinhardtii: a single-cell approach.

The New phytologist
Studying cell-to-cell heterogeneity is essential to understand how unicellular organisms respond to stresses. We introduce a single-cell analysis framework that enables the study of intercellular heterogeneity of photosynthetic traits, particularly t... read more