Artificial Intelligence Medical Compendium

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

Showing 4,801 to 4,810 of 203,854 articles

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 
genomics

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 
bioinformatics

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Renal failure May 31, 2026
Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby exacerbating tissue damage and organ dysfunction. However, the key biomarkers of cellular senescence a... read more 

Dynamic task offloading for sports training monitoring in MEC-assisted smart wearable device systems.

Scientific reports May 31, 2026
With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, smart wearable devices (SWDs) are regarded as a promising approach for sports training monitoring. However, such monitoring generates a large number of co... read more 

HAMNet: Hierarchical Multi-scale Attention Network for precise disease detection in pearl millet using spatial fusion.

Scientific reports May 31, 2026
Pearl millet is a vital crop in arid and semi-arid regions, but its productivity is significantly impacted by fungal and bacterial diseases. Traditional disease detection methods, including manual inspection and conventional machine learning techniqu... read more 
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