Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 7,701 to 7,710 of 207,466 articles
A Hierarchical Multimodal Framework for Sedation Monitoring in ICU Patients.
IEEE transactions on bio-medical engineering
Jun 1, 2026
In the intensive care unit (ICU), monitoring sedation levels is crucial. Clinicians often rely on intermittent behavioral scales like the Richmond Agitation-Sedation Scale (RASS), which can be subjective and delay timely interventions. While electroe... read more
An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology.
IEEE transactions on bio-medical engineering
Jun 1, 2026
OBJECTIVE: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological consequences. Early detection typically requires continuous electroencephalo... read more
From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT
bioRxiv
May 31, 2026
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are d... read more
Instance-Wise Contrastive Graph Neural Network Enables the Discovery of Novel Aedes aegypti Larvicidal Compounds
bioRxiv
May 31, 2026
Aedes aegypti remains a major arboviral vector, making larval control a critical strategy to reduce mosquito populations. However, resistance to commercial larvicides has reduced the long-term effectiveness of current interventions, reinforcing the n... read more
Freezing depth prediction of surrounding rock in seasonally frozen tunnels based on bayes-optimized XGBoost.
Scientific reports
May 31, 2026
During freeze-thaw cycles, frost heave forces induced by pore water phase transition in the surrounding rock of seasonally frozen tunnels act continuously on the lining structure, impairing its stability and service performance. The evolution of free... read more
MedNet-FS: a few-shot learning framework for 3D MRI-based knee injury classification.
Scientific reports
May 31, 2026
The development of deep learning models for 3D knee MRI analysis is critically constrained by the scarcity of large, annotated datasets. Few-shot learning (FSL) offers a promising pathway to leverage small data, but its effective application to volum... read more
LLM-guided expert feature extraction with fusion-based complementary learning network for fish freshness classification using eye images.
Scientific reports
May 31, 2026
Accurate, non-invasive grading of fish freshness remains challenging in dense and occluded environments, where the fish eye images serve as a reliable and consistently visible indicator of freshness. Loss of structural cues in the fish eye image ofte... read more
Rapid autofluorescence based 3D optical imaging of the pancreatic cancer milieu at mesoscopic scale - stain-free volumetric segmentation.
Scientific reports
May 31, 2026
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly challenged when applied to imaging of pancreatic ductal adenocarcinoma (PDAC) tissue. Most importantly,... read more
Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.
Scientific reports
May 31, 2026
This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more
Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.
Scientific reports
May 31, 2026
In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more
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