Artificial Intelligence Medical Compendium

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

Showing 62,341 to 62,350 of 230,507 articles

MetaFX: feature extraction from whole-genome metagenomic sequencing data.

Bioinformatics (Oxford, England)
MOTIVATION: Microbial communities consist of thousands of microorganisms and viruses and have a tight connection with an environment, such as gut microbiota modulation of host body metabolism. However, the direct relationship between the presence of ... read more 

Geometry-Enhanced Multiscale Joint Representation Learning for Drug-Target Interaction Prediction.

Journal of chemical information and modeling
Drug-target interactions (DTIs) are the basis of the therapeutic effect of drugs, whose accurate prediction helps reduce the cost and time of experimental screening in drug development process. Present methods for DTIs prediction often focus on the s... read more 

Chemiresistive Gas Sensors: Materials, Mechanisms, and Applications on the Road to Intelligence and Multifunctionality.

Small (Weinheim an der Bergstrasse, Germany)
Advances in chemiresistive gas sensors (CGSs) are driving their evolution toward multifunctionality and intelligence. Nevertheless, it remains crucial to track the latest developments and clarify the key contributions of materials and structural engi... read more 

Cross-Supervision Similarity Network for Medical Image Classification on Imbalanced Small Datasets.

IEEE transactions on medical imaging
Imbalanced small datasets are common scenarios in the field of machine learning for medical imaging, especially in real-world clinical applications. Many existing works focus on synthesize new images via data generation. However, generative methods c... read more 

Self-Supervised Speech Representations for Sleep Apnea Severity Prediction.

IEEE transactions on bio-medical engineering
OBJECTIVE: Obstructive sleep apnea (OSA) is a prevalent yet underdiagnosed condition characterized by repetitive upper airway obstruction during sleep. Current gold standard diagnostic standards rely on polysomnography (PSG), which is resource-intens... read more 

uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm.

IEEE transactions on bio-medical engineering
INTRODUCTION: Premature Ventricular Contractions (PVCs) are common cardiac arrhythmias originating from the ventricles. Accurate detection remains challenging due to variability in electrocardiogram (ECG) waveforms caused by differences in lead place... read more 

Deep_TPPred: Improved prediction of protein toxicity using feature fusion and hybrid neural network approach.

IEEE transactions on computational biology and bioinformatics
Protein toxicity prediction is crucial for drug discovery, safety assessment, and toxicological research. This study introduces $\mathrm{Deep\_{T}PPred}$, a novel hybrid deep learning (DL) model that integrates Convolutional Neural Networks (CNN) and... read more 

Subphenotype Identification for Sepsis-Associated Acute Kidney Injury Using Graph Bidirectional Mamba Networks.

IEEE journal of biomedical and health informatics
Sepsis-associated acute kidney injury (SA-AKI) is a heterogeneous clinical syndrome and a leading cause of mortality in intensive care units (ICUs). Identifying subphenotypes of SA-AKI can improve treatment precision, enabling more targeted clinical ... read more 

Robot steering-angle prediction lightweight network based non-local attention and lane guidance.

PloS one
Predicting the steering angle of robots is a core challenge in autonomous navigation. This paper proposes a novel end-to-end prediction network that integrates non-local attention and lane line guidance mechanisms to significantly reduce computationa... read more 

Prediction of myeloid malignant cells in Fanconi anemia using machine learning.

PloS one
Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA patients develop aplastic anemia during childhood and have an extremely high cumulative risk to develop cancer during their lifespan. Myeloid maligna... read more