Artificial Intelligence Medical Compendium

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

Showing 41,991 to 42,000 of 223,853 articles

Toward a Machine Learning-Driven Digital Twin for Real-Time Hormone Biosensing in Personalized Infertility Care.

IEEE transactions on bio-medical engineering
BACKGROUND: The increasing demand for personalized healthcare solutions highlights the limitations of one-size-fits-all treatment strategies. Digital twin (DT) technology, which enables real-time virtual replicas of physical systems, offers a promisi... read more 

VFIR: Vector Fields Implicit Representation for Surface Reconstruction from Point Clouds.

IEEE transactions on visualization and computer graphics
Surface reconstruction from point clouds has attracted considerable attention in the computer vision community. Most deep learning-based methods focus on modeling signed distance functions (SDFs) and unsigned distance functions (UDFs). However, SDFs ... read more 

Spatiotemporal Decoupled Learning for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems
Spiking neural networks (SNNs) have gained significant attention for their potential to enable energy-efficient artificial intelligence (AI). However, effective and efficient training of SNNs remains an unresolved challenge. While backpropagation thr... read more 

An Enhanced Low-Computational-Complexity Predefined-Time Convergent Zeroing Neural Network for Constrained Time-Varying Quadratic Programming With Kinematic Control of Robotic Manipulator.

IEEE transactions on neural networks and learning systems
Time-varying quadratic programming (TVQP) problems can be regarded as a challenging issue in a wide range of engineering applications, frequently incorporating equality, inequality, and bound constraints. By integrating a nonlinear complementarity pr... read more 

Sub-band Embedding Based EEG Spatio-Temporal Activity Representation for Emotion Recognition.

IEEE journal of biomedical and health informatics
EEG-based emotion recognition is a crucial task with significant implications for mental health monitoring, affective computing, and clinical decision support. While Graph Neural Networks (GNNs) have shown promise in modeling the complex spatio-tempo... read more 

PROTEAN: An Explainable AI Pipeline for Protein Classification in Support of Precision Medicine.

IEEE journal of biomedical and health informatics
Soluble N-ethyl-maleimide-sensitive factor Attachment Protein Receptors (SNARE) proteins play critical roles in intracellular trafficking and disease mechanisms, making them relevant targets for precision medicine approaches. However, distinguishing ... read more