Artificial Intelligence Medical Compendium

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

Showing 2,951 to 2,960 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 
Neurodegenerative Diseases Enzyme Inhibitors Machine Learning Algorithms Drug Discovery Humans

Case Studies of Generative Machine Learning Models for Dynamical Systems

arXiv Aug 6, 2025
Systems like aircraft and spacecraft are expensive to operate in the real world. The design, validation, and testing for such systems therefore relies on a combination of mathematical modeling, abundant numerical simulations, and a relatively small... read more 
Systems and Control Neural and Evolutionary Computing Systems and Control

Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi... read more 
Humans Machine Learning Neuroimaging Reproducibility of Results Models, Statistical

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation

arXiv Aug 6, 2025
As the leading cause of death worldwide, cardiovascular diseases motivate the development of more sophisticated methods to analyze the heart and its substructures from medical images like Computed Tomography (CT) and Magnetic Resonance (MR). Semant... read more 
Computer Vision and Pattern Recognition Machine Learning

Optimization of sliding control parameters for a 3-dof robot arm using genetic algorithm (GA)

arXiv Aug 6, 2025
This paper presents a method for optimizing the sliding mode control (SMC) parameter for a robot manipulator applying a genetic algorithm (GA). The objective of the SMC is to achieve precise and consistent tracking of the trajectory of the robot ma... read more 
Robotics Neural and Evolutionary Computing Systems and Control Systems and Control

Foundation models for radiology-the position of the AI for Health Imaging (AI4HI) network.

Insights into imaging Aug 6, 2025
Foundation models are large models trained on big data which can be used for downstream tasks. In radiology, these models can potentially address several gaps in fairness and generalization, as they can be trained on massive datasets without labelled... read more 

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Seasonal influenza is a major global public health concern, leading to escalated morbidity and mortality rates. Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined threshol... read more 
Risk Assessment Humans Seasons China Machine Learning Influenza, Human Probability

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 
Infant Adolescent Child, Preschool Young Adult Male Mucopolysaccharidoses Child Bayes Theorem Early Diagnosis Humans Machine Learning Algorithms Retrospective Studies Electronic Health Records Female

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis

arXiv Aug 6, 2025
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learning-based computer-aided diagnosis (CAD) systems have shown promise in... read more 
Computer Vision and Pattern Recognition

Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b... read more 
Magnetic Resonance Imaging Heart Supervised Machine Learning Algorithms Reproducibility of Results Humans Image Processing, Computer-Assisted
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