Artificial Intelligence Medical Compendium

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

Showing 4,971 to 4,980 of 204,028 articles

Zero-Shot Unsupervised Motion Estimation for Motion-Corrected Cardiac T1 Mapping.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Cardiac quantitative MRI (qMRI) is a powerful imaging technique for diagnosing pathologies such as diffuse myocardial fibrosis. One main challenge is cardiac motion, which requires synchronization of data acquisition with the heartbeat, le... read more 

High Sensitivity Sensor Based on Bound State in the Continuum in Detection for Cancer Cells.

IEEE transactions on bio-medical engineering Jun 1, 2026
Although terahertz (THz) metasurfaces based on bound state in the continuum (BIC) have garnered significant attention in biomedical applications, their technical implementation in high-sensitivity cancer cells detection remains a critical challenge. ... read more 

Unsupervised Cross-Modality MR Image Segmentation via Prompt-Driven Foundation Model.

IEEE transactions on bio-medical engineering Jun 1, 2026
Obtaining pixel-level expert annotations is expensive and labor-intensive in the medical imaging field, especially for multi-modality imaging data like MR. Most conventional cross-modality segmentation methods rely on unsupervised domain adaptation t... 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 

Reinforcement Learning-Based Focality Optimization for Multi-Electrode Temporal Interference Stimulation.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Multi-electrode Temporal Interference Stimulation (TIS) is a promising noninvasive technology for deep brain stimulation, but its clinical translation is hindered by the challenge of optimizing its high-dimensional and hybrid parameter spa... read more 

Cross-Hemispheric Spatial-Temporal Attention Network for Decoding Silent Speech From EEG.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Speech, as the core of advanced human cognition, is fundamental to social interaction and daily life. Electroencephalogram (EEG)-based speech brain-computer interface (BCI) offers a novel communication pathway for patients with speech diso... read more 

Manifold Learning Approaches for Characterizing Photoplethysmographic Signals.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Photoplethysmography (PPG) is widely used for cardiovascular monitoring, but its analysis is challenged by signal variability, inconsistent acquisition settings, and limited interpretability. This study investigates the use of low-dimensio... read more 

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 

Prostate Targeting: Compact Robot With Harmonic Stepper Motors for MRI-Guided Needle Therapy.

IEEE transactions on bio-medical engineering Jun 1, 2026
The superior image quality and excellent contrast offered by Magnetic Resonance Imaging (MRI) make it an ideal tool for guiding interventional procedures, particularly in targeting tumors within soft tissues. This paper presents an innovative robotic... 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 
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