Artificial Intelligence Medical Compendium

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

Showing 65,831 to 65,840 of 232,257 articles

Large language models for predicting one-year major adverse cardiovascular events in acute coronary syndrome.

iScience
Effective risk stratification is crucial for managing acute coronary syndrome (ACS). This study evaluated whether general-purpose large language models (LLMs) can reliably execute the complex clinical reasoning required for cardiovascular prognosis. ... read more 

MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer's disease.

European radiology
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), but its high cost and radiation exposure limit its use. Deep learning techniques make it possible to generate PET from structured MRI data. In this stud... read more 

A Framework for a Standard-Enabled FAIR Data Management Workflow for Synthetic Biology.

ACS synthetic biology
Synthetic biology laboratories generate diverse forms of data and metadata throughout a project's life cycle, such as sequences, models, protocols, images, and time-series measurements. Unfortunately, these assets are scattered across spreadsheets, p... read more 

Adaptive Transfer Crystal Graph Convolutional Networks for Accelerated Discovery of Organic Perovskite Photovoltaic Materials.

The journal of physical chemistry. A
Perovskite solar cells (PSCs) exhibit outstanding photovoltaic performance, but the discovery of new hybrid organic-inorganic perovskites (HOIPs) remains constrained by the scarcity of high-quality data. Given the strong structure-property correlatio... read more 

Machine Learning Prediction of Ionic Conductivity and Binding Energy in Doped Li2ZrCl6 Halides for Solid-State Electrolyte.

ACS applied materials & interfaces
All-solid-state batteries are attracting significant attention, particularly the development of solid electrolytes. Among potential candidates, ternary halide compounds have emerged as promising materials for fast ion conduction. In this study, we in... read more 

Machine Learning Prediction of Two-Dimensional Polymerization of Nitrogen in FeNx.

The journal of physical chemistry letters
Nitrogen-rich iron nitrides (FeNx), a representative class of transition metal nitrides, have attracted a considerable amount of interest due to their polymeric nitrogen motifs and outstanding mechanical and energetic properties. However, accurately ... read more 

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi-Variable Systems.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Recent advances in artificial intelligence have produced powerful predictive models for chemical analysis, but model interpretability remains a challenge. Here, we introduce Unsupervised Hierarchical Symbolic Regression (UHSR), providing an explainab... read more 

Emerging Diagnostic Indications for Endoscopic Ultrasound.

Gastroenterology
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and therapy across gastrointestinal and hepatobiliary diseases. This review summarizes recent advances that... read more