Artificial Intelligence Medical Compendium

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

Showing 59,781 to 59,790 of 228,014 articles

[Potential of imaging in the clinical routine : Focus on cardiovascular MRI].

Herz
Cardiac magnetic resonance imaging (CMR) provides decisive advantages, particularly in coronary heart disease, myocarditis and cardiomyopathy. It accurately detects ischemia, scarring, edema and microvascular disorders, enables reliable risk stratifi... read more 

Digital maternity care in Germany: a cross-sectional web-based survey on midwives' perceptions.

Archives of gynecology and obstetrics
PURPOSE: Maternity care is a central component of any healthcare system and is largely provided by midwives. Considering increasing cost pressures and growing demand for efficiency within the German healthcare system, the development of efficient, di... read more 

Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength level.

Abdominal radiology (New York)
PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction kernels and deep-learning image reconstruction at high-strength level (DLIR-H) for improving visualization of the pancreas and tumor boundaries on pan... read more 

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