Artificial Intelligence Medical Compendium

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

Showing 23,731 to 23,740 of 217,366 articles

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 

Language Equity in Pediatrics: Caring for Children From Families Who Speak a Language Other Than English.

Pediatric annals
Families who speak a language other than English (LOE) are a growing population in the United States. Children of these families are at risk of disparities in clinical settings. This narrative review synthesizes evidence from outpatient and inpatient... read more 

Interactive Visual Exploration of Rule-Based Model Logic.

IEEE transactions on visualization and computer graphics
Rule-based machine learning models, including those derived from decision trees or forests, are often considered inherently interpretable. However, human understanding is hindered by model size, rule complexity, and interdependencies between features... read more 

Gradient Normalization Enables Communication-Efficient Distributed Learning under Initialization Data Heterogeneity.

IEEE transactions on pattern analysis and machine intelligence
Communication-efficient distributed learning has achieved remarkable progress in training large-scale deep neural networks across numerous clients. However, in heterogeneous environments-where local data distributions vary significantly-the empirical... read more 

Noninvasive Screening for High-Risk Esophageal Varices in Cirrhosis: Current and Emerging Methods.

Journal of clinical gastroenterology
The primary goal of variceal screening in patients with cirrhosis is to identify high-risk esophageal varices (HREV) and implement preventative measures. Historically, endoscopic screening was recommended for all patients with cirrhosis; however, thi... read more 

A Novel Covalent Inhibitor Fragment for the SARS-CoV-2 Main Protease Identified by Target-Specific Deep Learning.

ACS chemical biology
The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is an attractive antiviral drug target due to its essential role in viral replication and absence of human homologues. Development of new coronavirus-specific Mpro inhibitors will be important... read more 

An AI-driven, wearable, conformal ring system for real-time and user-independent sign language interpretation.

Science advances
Sign language translation systems have long aimed to bridge the communication between signers and nonsigners. However, preliminary systems rely on glove-type wearables or wired sensor arrays, which constrain hand movement, reduce comfort, and require... read more