Artificial Intelligence Medical Compendium

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

Showing 23,541 to 23,550 of 217,176 articles

The melting properties of choline chloride in the representation of deep eutectic system phase diagrams.

Physical chemistry chemical physics : PCCP
Choline chloride (ChCl) is the cornerstone of deep eutectic solvents (DES), yet its melting properties remain an important source of uncertainty in the thermodynamic description of eutectic systems. Since ChCl decomposes before melting, reported valu... read more 

GMFCC-UMA: A Fragment-Based Machine Learning Framework for Scalable Ab Initio-Quality Protein Energies.

Journal of chemical theory and computation
Fragmentation-based quantum chemistry offers a practical route to achieving ab initio quality energetics for proteins, but its applicability is often constrained by the high computational cost of fragment-level quantum mechanical (QM) calculations. H... read more 

Imaging of Small Cell Lung Cancer: An Updated Overview of Current and Emerging Applications.

Radiology. Imaging cancer
Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by rapid progression and early metastasis. Despite recent therapeutic advances, including immune checkpoint inhibitors and emerging targeted agents, survi... read more 

Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.

Small methods
Precise control of liposome size is critical for drug delivery. We developed an in-line PAT-integrated machine learning model that predicts particle size with high accuracy (root mean square error 7.18 nm) using limited experimental data. By integrat... read more 

AlveolEye: Rapid and precise lung morphometry guided by computer vision.

American journal of physiology. Lung cellular and molecular physiology
Rigorous and reproducible evaluation of lung tissue under different conditions is necessary to interpret development, injury, and pharmacologic interventions. Common histological measurements in the distal lung include mean linear intercept (MLI) as ... read more 

Data-driven outcome prediction and rational resource allocation in severe traumatic brain injury: a multicenter retrospective study integrating survival analysis and machine learning ensembles.

Acta neurologica Belgica
INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among young and middle-aged populations worldwide. OBJECTIVE: sTBI is associated with high mortality and disability rates, and reliable risk estimation wit... read more 

Template-Based Label Propagation for Mouse Brain MRI Skull Stripping.

Neuroinformatics
Accurate skull stripping is an essential preprocessing step in mouse brain magnetic resonance imaging, particularly for reliable atlas registration and large scale population studies. Existing approaches are often labor intensive, sensitive to inter ... read more 

Diagnostic Classification of Autism Spectrum Disorder in the Frequency Domain Using Resting-State fMRI.

Neuroinformatics
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with problems in social interactions, verbal and non-verbal communication, repetitive behaviors, and limited interests in a person. Considering the challenges in diagnosing ASD based on ... read more 

Machine learning for predicting chaotic systems.

Chaos (Woodbury, N.Y.)
Predicting chaotic dynamical systems is critical in many scientific fields, such as weather forecasting, but challenging due to the characteristic sensitive dependence on initial conditions. Traditional modeling approaches require extensive domain kn... read more 

A spatiotemporal cell theory for cooperative pattern formation in reinforcement learning-driven evolutionary games.

Chaos (Woodbury, N.Y.)
The emergence and stable evolution of cooperation among self-interested individuals is a central issue spanning evolutionary biology, social dynamics, and artificial intelligence. Conventional imitation-based evolutionary game models, lacking mechani... read more