Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 45,791 to 45,800 of 224,055 articles
Uncertainty-Aware Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization.
IEEE transactions on pattern analysis and machine intelligence
Mar 1, 2026
Dynamic graph neural networks, i.e., DyGNNs, have been extensively explored in literature to handle structural and temporal properties in graphs. On the one hand, there naturally exist distribution shifts in real-world scenarios relevant to dynamic g... read more
A predictive model for significant periodontal disease progression: A large-scale cohort study.
Medicina oral, patologia oral y cirugia bucal
Mar 1, 2026
BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify patients at high risk for significant periodontal disease progression using a large dataset from ele... read more
Artificial Intelligence and Peer Review: Preserving Integrity in the Pursuit of Efficiency.
International braz j urol : official journal of the Brazilian Society of Urology
Mar 1, 2026
A Spatiotemporal Causal Model for Revealing Developmental Changes in Infants' Brain Effective Connectivity Networks During the First Year of Life.
IEEE transactions on bio-medical engineering
Mar 1, 2026
OBJECTIVE: The infant's brain undergoes significant structural and physiological transformations during the first year of life. Although extensive research has explored brain development during this critical period, most studies relied on traditional... read more
Hybrid Residual Neural Network for Obstructive Sleep Apnea Detection Using ECG Scalogram.
IEEE transactions on bio-medical engineering
Mar 1, 2026
The electrocardiogram (ECG) has emerged as a viable alternative to polysomnography (PSG) for the detection of obstructive sleep apnea (OSA). Given the limited feature information of ECG signals in a single domain, this study proposes an adaptive thre... read more
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE transactions on bio-medical engineering
Mar 1, 2026
Achieving clinical level performance and widespread deployment for generating radiology impressions encounters a giant challenge for conventional artificial intelligence models tailored to specific diseases and organs. Concurrent with the increasing ... read more
Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG.
IEEE transactions on bio-medical engineering
Mar 1, 2026
OBJECTIVE: Acute coronary syndrome (ACS) is a life-threatening condition requiring accurate diagnosis for better outcomes. However, variability in signs and symptoms among racial subgroups could cause disparities in diagnostic accuracy. In this study... read more
Representation Learning for Cerebrovascular Autoregulation: A Model Study With Experimental Data Classification.
IEEE transactions on bio-medical engineering
Mar 1, 2026
OBJECTIVE: Cerebrovascular autoregulation (CA) maintains adequate cerebral blood flow (CBF) during changes in cerebral perfusion pressure (CPP) and can be dynamically altered after traumatic brain injury (TBI). A novel deep representation learning mo... read more
DINOMotion: Advanced Robust Tissue Motion Tracking With DINOv2 in 2D-Cine MRI-Guided Radiotherapy.
IEEE transactions on bio-medical engineering
Mar 1, 2026
Accurate tissue motion tracking is critical to ensure treatment outcome and safety in 2D-Cine MRI-guided radiotherapy. This is typically achieved by registration of sequential images, but existing methods often face challenges with large misalignment... read more
Lung-DDPM: Semantic Layout-Guided Diffusion Models for Thoracic CT Image Synthesis.
IEEE transactions on bio-medical engineering
Mar 1, 2026
With the rapid development of artificial intelligence (AI), AI-assisted medical imaging analysis demonstrates remarkable performance in early lung cancer screening. However, the costly annotation process and privacy concerns limit the construction of... read more
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