Artificial Intelligence Medical Compendium

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

Showing 3,071 to 3,080 of 168,416 articles

Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn.

Journal of computer-aided molecular design Aug 6, 2025
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based on data provided by PubChem an... read more 
Humans Machine Learning Algorithms Drug Discovery Neurodegenerative Diseases Enzyme Inhibitors

Reusable Noncomplementary DNA-Based Neural Network.

Journal of the American Chemical Society Aug 6, 2025
Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more 

An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments.

Scientific reports Aug 6, 2025
The fast development of Internet of Things (IoT) tools in smart cities has presented many advantages, improving sustainability, automation, and urban efficiency. Still, these interlinked systems further pose critical cybersecurity difficulties, inclu... read more 

Transductive zero-shot learning via knowledge graph and graph convolutional networks.

Scientific reports Aug 6, 2025
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more 

A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ... read more 
Humans Machine Learning Prognosis Retrospective Studies Female Aged Adult Male Middle Aged Liver Cirrhosis Longitudinal Studies Taiwan Hepatic Encephalopathy

Comment on "Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort".

Internal and emergency medicine Aug 6, 2025
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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more 
Humans Machine Learning Algorithms Retrospective Studies Electronic Health Records Female Young Adult Male Infant Adolescent Child, Preschool Child Bayes Theorem Early Diagnosis Mucopolysaccharidoses

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 
Humans Brain Female Young Adult Adult Male Adolescent Longitudinal Studies Magnetic Resonance Imaging Brain Mapping Consumer Behavior Social Behavior Friends Social Networking

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance.

Epilepsia Aug 6, 2025
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more 

Decoding Covert Visual Attention in Space and Time from Neural Signals.

Annual review of vision science Aug 6, 2025
Visual attention prioritizes relevant stimuli in complex environments through top-down (goal-directed) and bottom-up (stimulus-driven) mechanisms within cortical networks. This review explores the neural mechanisms underlying visual attention, focusi... read more 
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