Artificial Intelligence Medical Compendium

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

Showing 52,591 to 52,600 of 225,341 articles

In-Situ Photoluminescence for Perovskite Crystallization: Bridging Mechanistic Insights and Device Engineering Control.

Advanced materials (Deerfield Beach, Fla.)
Metal halide perovskite solar cells have reached record efficiencies of over 27% within two decades, yet their photovoltaic performance and operational stability remain highly sensitive to the nucleation and crystallization of perovskite films. Conve... read more 

Machine learning prediction of functional cure to pegylated interferon-alpha therapy in two HBV populations: Advantaged populations and HBeAg-negative patients.

Virulence
Despite advances in antiviral therapy, the rate of functional cure for chronic hepatitis B (CHB) remains unsatisfactory, and developing an applicable prediction model is pivotal to improving it. Thus, we aimed to identify key predictive factors and d... read more 

First Principles Identification of Active Sites in Heterogeneous Catalysis: A Case Study on ZnxCryOz for Syngas Conversion.

Angewandte Chemie (International ed. in English)
Discovering next-generation heterogeneous catalysts calls for embracing the full complexity of active site formation under realistic conditions. Here, we develop a robust machine learning potential (MLP)-aided computational framework that integrates ... read more 

Exploring the future of ischemic stroke diagnosis and underrecognized etiologies.

Expert review of neurotherapeutics
INTRODUCTION: Despite traditional workups, accurate diagnosis of patients who are classified under cryptogenic stroke with underrecognized etiologies is very challenging. Accurate diagnosis is important for timely and optimized treatment modalities, ... read more 

Chiropto-Neuromorphic Devices Based on a Photocatalytic Dye/Polymer Semiconductor Bulk Heterojunction for Circularly Polarized Light Detection and Memorization.

Advanced materials (Deerfield Beach, Fla.)
Neuromorphic computing, which emulates the energy-efficient processing of the human brain, has emerged as a key technology for next-generation artificial intelligence. Integrating sensitivity to circularly polarized light (CPL) provides an additional... read more 

[Key Drivers of PM2.5 in Qingdao from 2013 to 2023 Using an Interpretable Machine Learning Model].

Huan jing ke xue= Huanjing kexue
To elucidate the deceleration trend in PM2.5 concentration reduction and its formation mechanisms, this study analyzed PM2.5 concentration variations in Qingdao from 2013 to 2023, combined with factors such as air pollutants, meteorology, and emissio... read more 

[Changes and Driving Mechanisms of Ecological Vulnerability in Jiangxi Province Based on SRP Model].

Huan jing ke xue= Huanjing kexue
Jiangxi Province, as one of the first national ecological civilization pilot zones in China, holds a significant responsibility in ecological protection and sustainable development. Ecological vulnerability assessment is of great guiding value for ec... read more 

[Ground-based Hyperspectral Coupled Interpretable Integrated Machine Learning for Salinity and pH Inversion in Agricultural Soils].

Huan jing ke xue= Huanjing kexue
Soil salinity and alkalinity are key factors limiting sustainable agricultural development. Timely acquisition of salinity and alkalinity information is crucial for soil improvement and long-term fertility enhancement. After orthogonal signal correct... read more 

[Research Progress of Machine Learning in the Field of Constructed Wetland Water Purification].

Huan jing ke xue= Huanjing kexue
In the current era, the rapid development of environmental science and computer technology complement each other. Among them, the application of machine learning in the research field of water quality purification in constructed wetlands has become i... read more 

Foundations, evidence, and applications of translational simulation in obstetric anaesthesia: a narrative review.

British journal of anaesthesia
Obstetric anaesthetists work in high-acuity settings where maternal and fetal conditions can deteriorate rapidly, requiring coordinated action across teams and systems. Simulation-based education improves technical and non technical skills and protoc... read more